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$80M Investor: You Have 5 Years Left To Get Rich — Transcript

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  1. 0:00When I made [music] the trade, I almost
  2. 0:01threw off. I was losing insane amounts
  3. 0:03of money every week.
  4. 0:04>> Did you make a million dollars during co
  5. 0:06>> I made
  6. 0:07>> Chris Camino turned $20,000 into $80
  7. 0:09million by spotting trading
  8. 0:11opportunities hiding in plain sight.
  9. 0:12Today, nearly 400,000 people on Twitter
  10. 0:15follow his every move.
  11. 0:16>> So, what does Chris see that the rest of
  12. 0:17us miss?
  13. 0:18>> Hey, can you learn to see it, too?
  14. 0:19>> I've traded every shoe trend that's ever
  15. 0:21happened, and I've nailed almost every
  16. 0:23one of them.
  17. 0:23>> So, you're saying someone that's
  18. 0:24starting with $1,000 could potentially
  19. 0:27replicate what you did?
  20. 0:28>> Yeah. my competition has like increased,
  21. 0:31but most of that is just her mentality.
  22. 0:33If you just become an investor, you've
  23. 0:36already won.
  24. 0:36>> There's a secret stock that you haven't
  25. 0:38talked about publicly.
  26. 0:40>> So,
  27. 0:42so we talked a little bit before we sat
  28. 0:45down and there's a secret stock that you
  29. 0:48haven't talked about publicly that
  30. 0:51you're doing a deep research on right
  31. 0:52now. and we sealed up that envelope
  32. 0:56right there and we put the ticker and
  33. 0:58company name in there. And you're going
  34. 1:00to tell us in just a little bit about
  35. 1:01why you think that could be another huge
  36. 1:03play. And I know you just had a huge
  37. 1:05play on Amazon. So, congrats there. But
  38. 1:08I want to start before we get there with
  39. 1:09you turned roughly $20,000
  40. 1:12into more than $80 million by finding
  41. 1:16information on your phone that Wall
  42. 1:18Street missed.
  43. 1:20Explain to me how you did that. like I'm
  44. 1:23five years old.
  45. 1:25>> Yeah, it probably started a bit before I
  46. 1:27had a phone. I don't know, 2007 is when
  47. 1:30the journey started. There was Was the
  48. 1:32iPhone around back then? I don't even
  49. 1:34remember.
  50. 1:35>> It may have just been coming out.
  51. 1:36[laughter] iPhone 1 or two maybe.
  52. 1:39>> Yeah. Back
  53. 1:39>> 2003 or four maybe.
  54. 1:41>> Back then a lot of what I did was
  55. 1:44offline or if it was online it was like
  56. 1:47Facebook on a on a computer, right?
  57. 1:51>> [laughter]
  58. 1:51>> It's like going way back. Um,
  59. 1:56it's just observational investing,
  60. 1:58right? So, it's this thing I discovered
  61. 2:00when I was a kid, uh, just by pure
  62. 2:04random chance walking into a 7-Eleven,
  63. 2:06buying a Snapple lemon flavored iced tea
  64. 2:10like I did every morning. And they had
  65. 2:13sold out of them. And the reason they
  66. 2:16sold out of them is because they only
  67. 2:18had like half of one refrigerator door
  68. 2:21of Snapple where they had always had two
  69. 2:23full refrigerators. So there was a lot
  70. 2:26of new competition that was coming into
  71. 2:29play. I think like maybe Arizona Ice Tea
  72. 2:31and others. Talked to the clerk about
  73. 2:33it. My older brother was a stock broker.
  74. 2:36I said, "Hey, this has got to be bad for
  75. 2:38Snapple. Can you teach me how to make
  76. 2:40money off of this?" He taught me how to
  77. 2:42short Snapple with puts. their earnings
  78. 2:44was just a few weeks away. I gave them
  79. 2:47all the money I had in the world, which
  80. 2:48was $300, which I had made from, you
  81. 2:52know, buying and selling items at garage
  82. 2:54sales, which is what I did when I was a
  83. 2:56kid, like Gary Vee style. Uh, and he
  84. 3:00bought puts on Snapple in his account
  85. 3:03for me. And it was the first quarter
  86. 3:06that they ever had bad earnings cuz
  87. 3:07inventory was building up because
  88. 3:09retailers like 7-Eleven were introducing
  89. 3:12new competitive products. And I was
  90. 3:14like, "This is crazy. I tripled my money
  91. 3:16in a few weeks." And I was immediately
  92. 3:19hooked uh with investing. You know,
  93. 3:22ironically, like I didn't realize that
  94. 3:24what I had discovered was going to be
  95. 3:26the strategy I'd be using as an adult
  96. 3:29because I ended up reading like every
  97. 3:31book that had ever been written on
  98. 3:32investing. and I got really into it and
  99. 3:34I basically did nothing but lose money
  100. 3:36year after year after year, [laughter]
  101. 3:37right? Um, doing everything but
  102. 3:40observational investing cuz like who
  103. 3:42would think as like a teenager that you
  104. 3:45would have, you know, an optimal
  105. 3:49methodology for investing more so than
  106. 3:52professionals have. It didn't make any
  107. 3:55sense. But if you think about it,
  108. 3:57anybody could have seen what I saw at
  109. 3:597-Eleven. So like why did the stock move
  110. 4:02down so much? Like why did professionals
  111. 4:06why did hedge fund managers not have
  112. 4:08that alpha like just by going to the
  113. 4:11store?
  114. 4:13And you know I've come to realize over
  115. 4:14the last few decades that the market is
  116. 4:17actually meaningfully inefficient uh
  117. 4:20when it comes to so many things. And
  118. 4:22still today in 2026,
  119. 4:24there are just massive opportunities
  120. 4:28to observe really simple things
  121. 4:32that surface alpha in the market that no
  122. 4:36one else is seeing because so many
  123. 4:39investors, institutional and retail, are
  124. 4:43completely consumed with noise. They're
  125. 4:47talking about the Fed. They're talking
  126. 4:49about interest rates, the Iran war, what
  127. 4:52is Trump going to say? Everybody's
  128. 4:54focused on the same 20 companies. You
  129. 4:58know what I'm saying? So, it's like,
  130. 5:00it's crazy to me that it's 2026
  131. 5:04and yet the market is just so distracted
  132. 5:08still. And it's still really easy for
  133. 5:11someone who's willing to be an
  134. 5:12independent thinker and actually do a
  135. 5:15little bit of real work and research
  136. 5:18[laughter] And like in my case, like
  137. 5:21observe the world and try to connect
  138. 5:23dots quicker than others to investable
  139. 5:25opportunities that somebody can do that
  140. 5:28just as a regular person. But you if I
  141. 5:32like tell you one thing, it's that you
  142. 5:34absolutely can. And this is like this is
  143. 5:36actually my biggest debate with people.
  144. 5:38They're like, "It's not that easy,
  145. 5:39Chris. Not everybody can do what you
  146. 5:41do." I'm like, "Dude,
  147. 5:43there are now hundreds of thousands of
  148. 5:45people that do this, observational
  149. 5:46investors in my community alone,
  150. 5:49and they're all doing it." Like, a lot
  151. 5:51of them are at this point, some of them
  152. 5:53are making way better returns than me
  153. 5:55doing it. And they're like plumbers,
  154. 5:57they're UPS drivers, they're dentists,
  155. 6:00they're homemakers, they're retirees.
  156. 6:03Some of them are high school kids, you
  157. 6:05know, high school, college kids. uh
  158. 6:07they're just going around observing the
  159. 6:09world looking for shifts in culture,
  160. 6:12shifts in consumer behavior, uh
  161. 6:15connecting dots on trends like who would
  162. 6:18benefit, who's going to be harmed by
  163. 6:20this trend, and then they're making
  164. 6:22investments purely based on that and
  165. 6:24winning. So like it's just it's a thing.
  166. 6:27So, you're saying someone that's
  167. 6:29starting out today with $1,000 could
  168. 6:31potentially realistically replicate what
  169. 6:34you did and in some cases beat your
  170. 6:37returns. When I think about this myself,
  171. 6:40I think about, well, you know, when I
  172. 6:42started getting Amazon packages at my
  173. 6:44house, I was like, wow, I don't have to
  174. 6:46go anywhere anymore. Oh, now I can get
  175. 6:48groceries. I I can I can just get
  176. 6:50everything from Amazon. Or like when I
  177. 6:52first was in a Tesla and it was driving
  178. 6:54itself, I was like, well, this is I
  179. 6:56don't want to drive. This is amazing.
  180. 6:57It's driving for me. Are those the type
  181. 6:59of observational things that you're
  182. 7:02looking for? Is it a little bit deeper
  183. 7:03with the research?
  184. 7:05>> Yeah. What you said and like a thousand
  185. 7:07other things just like that. Yeah. Is
  186. 7:09there are there other things you need to
  187. 7:12do or you should be doing as part of
  188. 7:14your trade strategy? Absolutely.
  189. 7:17um you know you find something that you
  190. 7:20think is really a gamecher like wow the
  191. 7:23first time you got in a Tesla like
  192. 7:25you're saying or some new product that
  193. 7:28is just trending so hard uh you have to
  194. 7:31ask yourself you know is there a
  195. 7:34publicly traded company that this will
  196. 7:36move the needle for right because it
  197. 7:39might be part of a diversified company
  198. 7:42and it might only be like onetenth of 1%
  199. 7:45of that company's sales
  200. 7:47Like when that fancy bottled water went
  201. 7:50viral a year ago cuz that Tik Tok guy,
  202. 7:54>> do you know what I'm talking about? He
  203. 7:55go, "Come [laughter] on, dude. Come on."
  204. 7:57He he gets up at like 5 in the morning.
  205. 7:59He dunks his head in a bowl of ice.
  206. 8:02You'll have to put it on the screen. But
  207. 8:03but but that water went super viral. And
  208. 8:06everybody was hitting me up. They're
  209. 8:07like, "Chris, is this a is this a social
  210. 8:09trade? Is this an observational trade?"
  211. 8:11>> I was like, "Well, let's see who owns
  212. 8:13that water." And the company that owned
  213. 8:16that brand of water owned so many other
  214. 8:20things and so many other bigger brands
  215. 8:21of water that even if they were to
  216. 8:24double triple sales of that water
  217. 8:26because of this hyperviral Tik Tok, you
  218. 8:28know, content,
  219. 8:31it was never going to move the needle
  220. 8:33for this company. So you have to
  221. 8:35understand, is it going to move the
  222. 8:37revenue needle? Is it going to move the
  223. 8:39perception needle? Is it going to move
  224. 8:41the you know the cost needle for this
  225. 8:45for any publicly traded company? And
  226. 8:47that's the first thing that you have to
  227. 8:49answer. Then you have to say okay if it
  228. 8:52is a needle mover if it is a gamecher
  229. 8:54for a publicly traded company. To what
  230. 8:57degree do other investors already know
  231. 9:00about it? That's that's really important
  232. 9:03obviously.
  233. 9:03>> But how do you figure that out?
  234. 9:05>> So how do you figure it out? You go to
  235. 9:07where other investors are. Where are
  236. 9:10other investors, right? Institutional
  237. 9:12investors talk about what they know
  238. 9:15through reports, sellside reports that
  239. 9:18banks issue, um, interviews, you know,
  240. 9:22CNBC even. Uh, a lot of them have
  241. 9:27private reports that you can try to get
  242. 9:29your hands on. Uh, a lot of them will
  243. 9:32talk about what they know, uh, during
  244. 9:34the Q&A session of an earnings call that
  245. 9:36everyone has access to. Uh then when you
  246. 9:39go down the line to retail investors,
  247. 9:41they're everywhere, right? They're on X,
  248. 9:43they're on Stock Twits, uh they are, you
  249. 9:47know, writing stuff on Seek and Alpha,
  250. 9:50they're on all these forums. So you have
  251. 9:53to see what they're writing about as it
  252. 9:56relates to that particular company or
  253. 9:58stock. Do they already know about this
  254. 10:00thing? Because if they know about it,
  255. 10:02they're writing about it and they're
  256. 10:03talking about it on YouTube, right?
  257. 10:06maybe even on Tik Tok or or on X. So,
  258. 10:09you just have to assess to what degree
  259. 10:13do other investors already know about
  260. 10:16this thing or truly appreciate how big
  261. 10:18of a deal this thing is going to be for
  262. 10:20this company. So, once you determine
  263. 10:23that it's a needle mover and that it
  264. 10:26hasn't been fully saturated in terms of
  265. 10:28that information amongst other
  266. 10:31investors.
  267. 10:33And then the third last thing you have
  268. 10:34to figure out is is there something else
  269. 10:38happening at or to that company that is
  270. 10:43more important than this thing that you
  271. 10:46found during the time frame of your
  272. 10:49trade, right? And if there's not, you
  273. 10:51might you might have something big. Uh,
  274. 10:55and then you're you're really the last
  275. 10:56thing that you have to do is you have to
  276. 10:58figure out when do I think other people
  277. 11:01are going to find out about this. Are
  278. 11:03they likely to find out about this?
  279. 11:05Because, you know, the trade revolves
  280. 11:09around a movie that I think is going to
  281. 11:11be a hit that's going to positively
  282. 11:14impact maybe the product that the
  283. 11:16movie's about. That was my Barbie trade.
  284. 11:18Or maybe the studio. Uh that was my uh
  285. 11:22Lionsgate trade back in the day with
  286. 11:24Hunger Games and Lionsgate was a
  287. 11:26publicly traded company. Like maybe then
  288. 11:28it's the release date of the movie. Uh
  289. 11:31if it's a product that you know hedge
  290. 11:35funds can track like at a big retail
  291. 11:37store, you know that hedge funds buy
  292. 11:40institutional
  293. 11:41credit card transaction data. So weeks
  294. 11:45before earnings come out, they usually
  295. 11:47have a print of people buying more or
  296. 11:51less of that company's product. So maybe
  297. 11:54you can make an assessment. They'll
  298. 11:56probably know about this within a few
  299. 11:57weeks of earnings. And if not, usually
  300. 12:00information will come out on an earnings
  301. 12:02call because that's when the rubber
  302. 12:04meets the road, right? If there's
  303. 12:06something positively impacting the
  304. 12:07company, it shows up on revenue that's
  305. 12:09unexpected.
  306. 12:11Also, the management team, they'll do
  307. 12:14I've literally been on thousands of
  308. 12:16these calls, right? They'll say, "Hey,
  309. 12:19the quarter was a huge beat because of
  310. 12:22this, and you just nailed it cuz you
  311. 12:24knew what this was before anyone else."
  312. 12:29And if you think about it,
  313. 12:32if you go through all the major earnings
  314. 12:35beats and misses through the years, you
  315. 12:39can backtrack,
  316. 12:41not all of them, but backtrack a lot of
  317. 12:45them to a moment in time when that thing
  318. 12:49that drove the company to beat or miss
  319. 12:52earnings earlier in the quarter
  320. 12:54materialized. that you as an investor if
  321. 12:58you knew where to look and what to look
  322. 13:01for you could have potentially found it.
  323. 13:04So like I tell investors the best way to
  324. 13:07be an observational investor is anytime
  325. 13:09you see like a big earnings report where
  326. 13:12a stock jumps or falls meaningfully
  327. 13:16was it due to one thing and if it was
  328. 13:19try to assess
  329. 13:22was there potential for me to identify
  330. 13:24that thing early or not and you have to
  331. 13:28just get in the rhythm of looking for
  332. 13:31these things all the time but yeah it's
  333. 13:34just it's the process, but it's a
  334. 13:36process that anyone can do. Like you
  335. 13:38don't need to be like this pedigreed
  336. 13:43Harvard, Stanford, Wharton grad who's
  337. 13:47like a 10 of 10 financial analyst. Like
  338. 13:50you don't need to be that person and you
  339. 13:54don't need to be a math wiz. This is not
  340. 13:56about technical trading. This is not
  341. 13:58about understanding algorithms
  342. 14:00truthfully. Like you just have to be a
  343. 14:03good investigative journalist
  344. 14:05>> like or you have to be I don't know like
  345. 14:09um
  346. 14:09>> a private investigator.
  347. 14:10>> A private investigator, right? Like I
  348. 14:13think like a private investigator or an
  349. 14:15investigative journalist would be like
  350. 14:17the ideal person that would have this
  351. 14:20mindset. Of course, you know, a lot of
  352. 14:24this alpha, a lot of these trades,
  353. 14:28the ideas for them were just surfaced
  354. 14:32from real life. So, people that just
  355. 14:35naturally
  356. 14:37have their feet like planted deeply in
  357. 14:40culture and real life and that are
  358. 14:42living and like you're reading the
  359. 14:45socials every day. You're seeing what's
  360. 14:48trending. you understand how culture is
  361. 14:50shifting. When there's a hot product,
  362. 14:53you're seeing it on your feed, right?
  363. 14:56That's like ordinary people. Those are
  364. 14:59the people that are like best position
  365. 15:02to actually surface change in the world
  366. 15:05as it's happening because they're
  367. 15:07observing the world organically just
  368. 15:11over the course of their life. So like
  369. 15:13the only different thing you have to do
  370. 15:16is train your mind that when you see
  371. 15:18something to to like stop for a second
  372. 15:21and say, "Hey, could this potentially be
  373. 15:24impactful to a company?" And then start
  374. 15:27the process of trying to connect the
  375. 15:28dots. And that's where it's been that's
  376. 15:31where like today is the easiest time
  377. 15:34ever to be an observational investor
  378. 15:36because that used to be the hardest
  379. 15:38part. That used to be the part where you
  380. 15:40kind of had to be a smart person to try
  381. 15:42to connect all these dots and like is to
  382. 15:45what extent is this going to impact that
  383. 15:47company. You don't even have to do that
  384. 15:49work anymore as long as you have chat
  385. 15:52chat GBT, right? Like like all you need
  386. 15:55to do once you find something is just
  387. 15:58literally speak into chat GPT or Claude
  388. 16:01or Grock or your favorite LLM. Hey,
  389. 16:05I just saw this thing. Could you
  390. 16:07validate that what I'm seeing is real?
  391. 16:09How big it is? Are there any publicly
  392. 16:12traded companies that this would
  393. 16:14meaningfully impact positively or
  394. 16:16negative? Uh help me deeply research
  395. 16:21that. Uh and then help me deeply assess
  396. 16:25the degree to which institutional andor
  397. 16:28retail investors already know about this
  398. 16:30thing. then help me deeply assess
  399. 16:33whether there's something else happening
  400. 16:35at this company right now that could be
  401. 16:36more important than this because that
  402. 16:37would mean that the thing I found maybe
  403. 16:40isn't so important right to trade but
  404. 16:44like AI will do all the hard work for
  405. 16:47you in fact a lot of people are using AI
  406. 16:49to even surface the change like I'm
  407. 16:51going to be out of a job soon like with
  408. 16:53quickly AI is moving so this is almost
  409. 16:56like the last frontier to be like in in
  410. 17:00observation ational investor where
  411. 17:02there's tons of alpha that as a human
  412. 17:04you could still put the pieces together
  413. 17:06and like make ungodly amounts of money
  414. 17:10just from having your eyes open and
  415. 17:12trying.
  416. 17:12>> I wrote it down. Four-step framework. So
  417. 17:14if anyone's watching out there, number
  418. 17:16one is just observe. You know, you're
  419. 17:18looking at your Tik Tok feed, you're
  420. 17:20looking at Instagram, you're watching
  421. 17:21YouTube videos, you're living your life.
  422. 17:23>> Live your life.
  423. 17:23>> Live your life. And you're you're you're
  424. 17:25taking notice of things. And then you're
  425. 17:27starting, huh, that's interesting. this
  426. 17:29this this happened or this came up or I
  427. 17:30saw this then you're trying to relate
  428. 17:32that back to a publicly traded company
  429. 17:34and if you can then you need to
  430. 17:36understand how big of an opportunity is
  431. 17:39that for that company right is that
  432. 17:41information priced in again all of these
  433. 17:43things you can find on your favorite LLM
  434. 17:46you know are there other more important
  435. 17:48catalysts you know is there an earnings
  436. 17:50report or something big that's coming up
  437. 17:52where this information could surface and
  438. 17:54you know then you're trying to decide I
  439. 17:56guess timing and maybe your risk profile
  440. 17:57how much do I want to put into this.
  441. 17:59What's my risk profile? Am I buying the
  442. 18:00stock? Am I buying options potentially?
  443. 18:02But it seems like what you're saying is
  444. 18:05the everyday person can do, but they
  445. 18:07have to do a little homework.
  446. 18:09>> Got to do a little homework, right? Just
  447. 18:11a little bit. [laughter]
  448. 18:14Nothing in life comes completely free,
  449. 18:16>> right?
  450. 18:17>> But of all the ways to try to grind and
  451. 18:20make money,
  452. 18:23>> there's nothing easier, man. Like it's
  453. 18:25actually so insane to me that every
  454. 18:29human on earth is not doing this.
  455. 18:31>> You don't think you're special and your
  456. 18:33mind is built for this and the average
  457. 18:35person out there is like going to not be
  458. 18:38able to do it on the level that you're
  459. 18:39doing it or do you think anyone that
  460. 18:41puts in enough time, effort, research
  461. 18:43can do what you've done?
  462. 18:45>> Listen, I I've always been like a hyper
  463. 18:48resourceful
  464. 18:50grinder type, right? like like I'm out
  465. 18:53there doing things that other people are
  466. 18:55just not willing to do. I'm always
  467. 18:57looking for opportunity in life. And I
  468. 19:00do think that when I started doing this
  469. 19:02back in 2007
  470. 19:04that it would have been meaningfully
  471. 19:05tough for just the average person to do
  472. 19:07what I was doing because it it took a
  473. 19:09lot more work.
  474. 19:12But in 2026 in a digital world,
  475. 19:16basically
  476. 19:18every facet of change that's happening
  477. 19:21in the world is reflected on social
  478. 19:23media in real time and it's free out
  479. 19:26there for anyone to decipher. So what do
  480. 19:30we do as humans before we change the way
  481. 19:33that we live? Before we change the
  482. 19:35things that we buy or the things we wear
  483. 19:38or what we do or what we spend our money
  484. 19:40on, where we spend our time, we talk
  485. 19:44about it. We talk about it. Um, we might
  486. 19:48talk about it in person less and less
  487. 19:50these days, but certainly a meaningful
  488. 19:55part of humanity is having those
  489. 19:57conversations on Tik Tok, on X, on other
  490. 20:01social platforms. So all the information
  491. 20:05is out there. You just have to like be
  492. 20:07part of the conversation and read what
  493. 20:10people are talking about every day. So
  494. 20:12yeah, I mean it's it's it's never been
  495. 20:14easier. And then now we have AI to do
  496. 20:16all the hard work for you after that.
  497. 20:19And now we have like Robin Hood and like
  498. 20:22broker apps that anybody can use with
  499. 20:26free trading. I mean like all the pieces
  500. 20:28are there. They're all there. On top of
  501. 20:31that,
  502. 20:33back when I was doing this, it wasn't
  503. 20:35cool to be like a young kid investor.
  504. 20:38Like there were no no young guys that
  505. 20:40were like investing like that. That
  506. 20:42wasn't a thing. Now it's the coolest
  507. 20:44thing in the world. So like you don't
  508. 20:46even have the cultural like hurdle to
  509. 20:50deal with. Like this is what all these
  510. 20:53young guys talk about. Like constantly
  511. 20:54I'm getting hit up by 17year-old,
  512. 20:5719year-olds, college guys. They're all
  513. 20:59trading now. A lot of them are trading
  514. 21:01stupid stuff, right? They're trading
  515. 21:03meme stocks. Not that crypto is stupid,
  516. 21:06but they're tra I mean, they're trading
  517. 21:07coins. They're trading all this stuff,
  518. 21:09right? And I I'm like, God, guys, I
  519. 21:10mean, I get it. They're trying to make a
  520. 21:12100x their money very quickly. Uh,
  521. 21:15sometimes I think they feel that they
  522. 21:17understand crypto better than equities.
  523. 21:19I don't know why. I mean, like, they
  524. 21:21should all be trading equities, I think.
  525. 21:23But there's never been an easier time
  526. 21:26for this,
  527. 21:27>> guys. We've been so passionate about
  528. 21:29finding the biggest geniuses and this is
  529. 21:31just one of the many episodes. If you
  530. 21:32want to make sure you don't miss the
  531. 21:34next one, make sure to subscribe. All
  532. 21:35right, let's get back to the episode. To
  533. 21:37the people out there listening, let's
  534. 21:39just give some quick background on Chris
  535. 21:41because there might be some people out
  536. 21:42there like 20,000 into 80 million. This
  537. 21:44is all hype. This is nonsense. But if
  538. 21:46I'm not mistaken, there was a tool
  539. 21:47called Covester that tracked and audited
  540. 21:50your trades in, you know, in your
  541. 21:52brokerage account. And you were the
  542. 21:53number one trader in the world
  543. 21:55>> for a while. I was the number one trader
  544. 21:57on co-vester and I got some publicity
  545. 22:00for it which was cool. I got I got to go
  546. 22:03on like Fox Business and did some stuff
  547. 22:06and then I got offered a book deal and I
  548. 22:09wrote a book came out in 2010. Hardest
  549. 22:12thing I've ever done in my life preai.
  550. 22:14So I had no one to help me. Okay. It was
  551. 22:16just me [laughter]
  552. 22:17at me at Starbucks staring at the
  553. 22:20ceiling. No joke. some days, two days in
  554. 22:24a row without writing a single word and
  555. 22:27then I would like hammer down a bunch of
  556. 22:29awards for a bit. But like it took me a
  557. 22:32year to write that book, laughing at
  558. 22:33Wall Street. And it's a book about my
  559. 22:34life, about how I got started investing.
  560. 22:36It's very personal to me. And I, you
  561. 22:39know, at the time it was a great
  562. 22:41representation of what social arb
  563. 22:43investing or observational investing
  564. 22:44was. Um, since then there are other
  565. 22:48books that have kind of referenced what
  566. 22:49I do that I think are better because the
  567. 22:52times have changed. But no, there have
  568. 22:54been multiple audits. Um, in fact, that
  569. 22:57one book that uh came out, Unknown
  570. 22:59Market Wizards, Jack Schwagger, he's
  571. 23:00like an iconic uh maybe the most iconic
  572. 23:04writer uh detailing the best investors
  573. 23:08over the past 30 or 40 years, mostly
  574. 23:10hedge fun guys. when he did unknown
  575. 23:12market wizards, he picked I think like
  576. 23:14five of the best equity traders he was
  577. 23:17able to find and he spent years looking
  578. 23:19for them and I was very fortunate to be
  579. 23:20one of the five and he goes through a
  580. 23:23very deep audit process. So he gets in
  581. 23:25your brokerage statements and he, you
  582. 23:27know, he does a full audit or account
  583. 23:29review. And then on top of that, uh,
  584. 23:31Business Insider,
  585. 23:33I don't know, maybe it was like 2021,
  586. 23:362022
  587. 23:38took like five months to audit me before
  588. 23:40they would publish an article about me.
  589. 23:42So they also did an audit, then they
  590. 23:44hired a third party to do another audit
  591. 23:46cuz like they didn't believe that the
  592. 23:49returns are what they were. [laughter]
  593. 23:51And I get it. I listen, I I get it. Like
  594. 23:53I'm so skeptical. I I'm I was skeptical
  595. 23:56myself. Like back in 2010, I was only 3
  596. 23:59years in when I got my book deal. And
  597. 24:02there was part of me that was like maybe
  598. 24:04I'm just an edgec case scenario, like
  599. 24:07survivorship bias. Cuz if you have
  600. 24:09enough people trading, millions, tens,
  601. 24:11hundreds of millions, some people just
  602. 24:14by sheer chance are going to be
  603. 24:17outliers. The the difference is like I
  604. 24:20had this methodology that wasn't a black
  605. 24:22box. It was super intuitive. You explain
  606. 24:25like I just explained it to you. You
  607. 24:27find something early, you connect the
  608. 24:29dots, they come out an earnings call.
  609. 24:31They're like, "Hey, earnings are up
  610. 24:32because of that thing that you found.
  611. 24:34There's no freaking debate, okay?
  612. 24:36There's no debating that you found that
  613. 24:39thing, made the investment, then the
  614. 24:41company did good, said we did good
  615. 24:44because of the thing that I found or
  616. 24:46whatever.
  617. 24:48That's not chance, right? That's not
  618. 24:50like outlier bias. So, but there was a
  619. 24:53point where I didn't even believe
  620. 24:54myself. And like to this day, like I
  621. 24:57have a hard time believing other
  622. 24:59investors when they come out and say,
  623. 25:00"Here are my returns." Cuz dude, this
  624. 25:03space is so littered with shady people
  625. 25:07that are in it for themselves.
  626. 25:09They're trying to make money selling
  627. 25:11stuff to other people so they have to
  628. 25:13claim to be great. There's just been so
  629. 25:16much proven fraud out there in in this
  630. 25:18whole finance space that I understand
  631. 25:21why people are skeptical of me. But I
  632. 25:22don't I mean I don't sell anything. I
  633. 25:24don't have courses.
  634. 25:24>> That's the thing that's interesting
  635. 25:25interesting about you which is you don't
  636. 25:27have a course. You don't have a trading
  637. 25:29software. You don't have a mastermind
  638. 25:30group.
  639. 25:31>> No, I just I just did some master class
  640. 25:34for free only because they agreed to
  641. 25:36give it away for free, you know. So it's
  642. 25:38like I don't have I don't even take
  643. 25:39sponsorships ever. Like I went through
  644. 25:42all co with like all the big sponsorship
  645. 25:45deals that they were offering to finance
  646. 25:48YouTubers and like never took one of
  647. 25:50them.
  648. 25:51>> Why is that? Why didn't you take that?
  649. 25:52That could be more money you could be
  650. 25:53using to invest.
  651. 25:54>> I I just it just didn't feel right to me
  652. 25:58for a number of reasons. It just felt
  653. 26:00like it wasn't part of who something
  654. 26:02that I wanted to be part of because like
  655. 26:05I didn't see myself as like a
  656. 26:07professional content creator. I I was
  657. 26:10just an investor that wanted to share my
  658. 26:12stuff through content. So like it felt
  659. 26:15weird that I was going to then start
  660. 26:16monetizing my content in other ways. So
  661. 26:21and then also I I don't like to be
  662. 26:23handcuffed to anyone or anything. So as
  663. 26:26dumb as it is, I don't want someone
  664. 26:28telling me what I have to say. Like I
  665. 26:30don't I just want to say whatever the
  666. 26:31hell I want to say, right? I just I just
  667. 26:33don't it just felt dirty and it just
  668. 26:35didn't felt right for me. Um,
  669. 26:39but and then also listen like I make an
  670. 26:42insane amount of money indirectly off my
  671. 26:45community because now the dumb money
  672. 26:49community, you know, the dumb money live
  673. 26:51community is so good at observational
  674. 26:53investing.
  675. 26:54>> So you're getting ideas from your
  676. 26:56community.
  677. 26:56>> I'm getting I get more than half of my
  678. 26:58ideas from my community. No way. Now you
  679. 27:00got to realize this is a group effort.
  680. 27:03So they share stuff with me, I share
  681. 27:06stuff with them, I poke holes in what
  682. 27:09they find, they poke holes in what I
  683. 27:11find. I'm not like a magician, man. I'm
  684. 27:13just a normal guy that was the first
  685. 27:16person in the world to do this back in
  686. 27:172007. Believe me, there are people that
  687. 27:22are smarter than me, that are more
  688. 27:24resourceful than me, that have more time
  689. 27:26than me, that are hungrier than me cuz,
  690. 27:30you know, I've made it. So like that are
  691. 27:32out there doing what I do better than I
  692. 27:36do it today. And thank goodness they
  693. 27:40feel a sense of gratitude to me to want
  694. 27:43to connect with me and share the ideas
  695. 27:45with me. And like I love it and they
  696. 27:47know that almost all my profits go to my
  697. 27:49foundation anyway. So I have noble
  698. 27:52causes. So everybody wins when we all
  699. 27:55win. They win, my foundation wins.
  700. 27:59But for me, it's all it's always been
  701. 28:02about community because like I've been
  702. 28:05doing this since I was a kid, way before
  703. 28:07it was cool to be trading stocks and I
  704. 28:10never had a community. I never had
  705. 28:12people that I could relate to. Even when
  706. 28:14like, you know, like self the
  707. 28:17self-directed investor movement started
  708. 28:20in like the 2000s when Erade, you know,
  709. 28:24came up as a company and all of a sudden
  710. 28:26we had discount brokerages cuz it used
  711. 28:28to be like 3%. I don't think like any of
  712. 28:32these young kid investors understand
  713. 28:34this.
  714. 28:35When I was really young,
  715. 28:38it would cost 3%
  716. 28:41Yeah, I think like two to 3% of whatever
  717. 28:45you were investing to buy a stock and
  718. 28:47then another two to 3% to sell it. So
  719. 28:50you're talking about 5% round trip just
  720. 28:53to buy and sell a stock. And by the way,
  721. 28:55you're on a phone with a guy, right?
  722. 28:58It was nuts, man. Now you can trade
  723. 29:01stocks for free. But like even when I
  724. 29:04was like even when that movement got
  725. 29:06started, everyone was either a
  726. 29:08fundamental investor or a technical
  727. 29:10investor and mostly technical. So like
  728. 29:13anytime I go to investment conference,
  729. 29:16those aren't my people. I love them.
  730. 29:18They're nice guys, but like that's not
  731. 29:19I'm not a chartist, you know, like I
  732. 29:21don't want to look at that stuff. I
  733. 29:22don't want to talk about it. I hate
  734. 29:24technical investing. Like it's just not
  735. 29:27it's not my vibe at all and and I don't
  736. 29:29enjoy it. So,
  737. 29:32I always wanted to have like people that
  738. 29:34thought like me, that invested like me,
  739. 29:36that I could like have like some back
  740. 29:39and forth with. And it took me getting
  741. 29:41on, well, it took me writing a book,
  742. 29:44being on YouTube for seven years,
  743. 29:46whatever, however long it's been, and
  744. 29:49doing like dozens and dozens of these
  745. 29:52podcast to eventually start to build a
  746. 29:56community of people that are now doing
  747. 29:58this, too. And I I love every second of
  748. 30:01it, man. It is the the coolest thing in
  749. 30:03the world to have all these people that
  750. 30:05love to invest the way I do.
  751. 30:07>> You seem like such a humble guy. And
  752. 30:09when I think of a trader, someone that
  753. 30:12in their mind is like, look, I'm going
  754. 30:13to go beat the market, which I think as
  755. 30:15we know it's really hard in aggregate to
  756. 30:18consistently over decades beat the
  757. 30:20market. I think I would think of those
  758. 30:22people as, you know, having a big ego
  759. 30:25and just like they think of themselves
  760. 30:27even like like a god because they can
  761. 30:28beat the market which is almost
  762. 30:30impossible to do consistently. But
  763. 30:32you're you're just it seems like you're
  764. 30:34different.
  765. 30:35>> I just I know how I did it and so like I
  766. 30:39said the methodology is super intuitive
  767. 30:43and
  768. 30:44I know that like it's not because I'm
  769. 30:47that special. I just happened to be at
  770. 30:50the right time, the right place. I I
  771. 30:52figured it out. And by the way, listen,
  772. 30:55I'm a guy that has a thousand f failures
  773. 30:58in every aspect of my life. But I'm
  774. 31:00constantly trying. I'm constantly like I
  775. 31:02was that kid that had a different
  776. 31:04business idea every 15 minutes. Like
  777. 31:07horrible ideas left and right. It's
  778. 31:09horrible ideas. Um just a million
  779. 31:13failures, right? So I think the reason I
  780. 31:18I think about this quite often actually
  781. 31:20the there is a you know there's a
  782. 31:22reasonable chance that I could have just
  783. 31:25never have found this methodology
  784. 31:27and also been a failure in the couple
  785. 31:29other areas of my life where I hit it
  786. 31:31big and I'd just be a fail a straight
  787. 31:34failure all around. And I read a I read
  788. 31:37a I read a quote like a philosopher
  789. 31:40quote one time about how we give
  790. 31:44virtually zero admiration or respect to
  791. 31:49all the world's scientists, all the
  792. 31:52world's artist, musicians,
  793. 31:55all these people that basically live
  794. 31:57their entire life to like to like
  795. 32:01discover the anomaly, whether it's the
  796. 32:03big scientific discovery,
  797. 32:06or that amazing painting. And the
  798. 32:10reality is you have to go through that
  799. 32:12whole process to even have a chance of
  800. 32:14doing that. And if we just had if you
  801. 32:17just take like your top 20 scientists
  802. 32:19and they were the only ones that were
  803. 32:21ever around, we would have none of those
  804. 32:22discoveries. It took having hundreds of
  805. 32:26thousands, millions of scientists
  806. 32:29experimenting all the time to actually
  807. 32:32get out of the bottom of the funnel, the
  808. 32:34few big wins for humanity. And yet, we
  809. 32:37only admire those few people that had
  810. 32:39the wins. But everybody deserves that
  811. 32:42credit. You know what I'm saying? Like,
  812. 32:44they all deserve that credit. So when I
  813. 32:47think about investing,
  814. 32:49I mean, not everyone takes it as
  815. 32:52seriously as I take it, but there are a
  816. 32:54lot of other people besides me that are
  817. 32:56working just as hard or harder with new
  818. 32:59methodologies. They're looking for alpha
  819. 33:01in the market in different ways. I think
  820. 33:03I think we all deserve credit, man. I
  821. 33:06think I think every investor deserves
  822. 33:08that credit. Yeah. Right. I I hit it,
  823. 33:10which is awesome, but like now I just
  824. 33:12want to share it because like what
  825. 33:13really matters? Like I don't I don't
  826. 33:16care about the money really anymore.
  827. 33:18Like for me, I'm like and I don't even
  828. 33:20care about my methodology that much
  829. 33:22other than the fact that observational
  830. 33:24investing is relatable. So I think it
  831. 33:26will get people to invest and to believe
  832. 33:29that they can do something special
  833. 33:30because you don't need any special skill
  834. 33:32set. But the truth is, all I care about
  835. 33:36is getting everybody to open a brokerage
  836. 33:39account and just start investing.
  837. 33:41Because you could be a good investor, a
  838. 33:44bad investor, a great investor, if you
  839. 33:47just become an investor, you've already
  840. 33:50won. And even if you like want to pursue
  841. 33:54some other style of investing that's not
  842. 33:58optimal or if you pursue mine but don't
  843. 34:00do great at it, the fact that you're
  844. 34:03into it is going to make you throw more
  845. 34:07money into the investing side of your
  846. 34:10life. And the more money you have just
  847. 34:12in investments period, the more you win.
  848. 34:16Doesn't matter if you do a little worse
  849. 34:17than the S&P, a little better than the
  850. 34:19S&P. I mean, it's better if you do
  851. 34:21better, right? But you just got to get
  852. 34:23in the game. If you This is a game that
  853. 34:26unless you're a complete degenerate
  854. 34:30imbecile, you can't lose. Like, you just
  855. 34:33can't lose at this game unless you are
  856. 34:37at the very fringe of the generacy,
  857. 34:40which there are some people there.
  858. 34:42[laughter]
  859. 34:43Like, but like, I hate to say it, those
  860. 34:45people have real meaningful issues and
  861. 34:47problems, and I feel for them. Uh, but
  862. 34:50they're going to lose it no matter what.
  863. 34:52If they're not losing here, they're lo
  864. 34:54they're losing at the casino, right? Or
  865. 34:56they're losing someplace else.
  866. 34:58>> Yeah.
  867. 34:59>> Somebody told me, "You once made
  868. 35:01millions because of two words on Google.
  869. 35:04Roof repair."
  870. 35:05>> Yeah. I don't know if it was millions.
  871. 35:07It was definitely [laughter]
  872. 35:09I think it was definitely I think
  873. 35:11hundreds of thousands, which was an
  874. 35:13insane amount of money to me at the
  875. 35:14time. I do love that one and I talk
  876. 35:18about it quite a bit because it's it's
  877. 35:23people are like, "Okay, is this all
  878. 35:24about catching like the next big hot
  879. 35:27product?" Sometimes it is. Uh or the big
  880. 35:31trend or the fashion trend uh or the
  881. 35:33shoe trend. I've traded every shoe trend
  882. 35:35that's ever happened in the last 20
  883. 35:37years. Everyone. And I've nailed almost
  884. 35:39every one of them. But the roof repair
  885. 35:42one I love because it was simply
  886. 35:47detecting
  887. 35:49how big of a hail season we were having
  888. 35:51because the bigger the hail season the
  889. 35:54more beneficial for this company Beacon
  890. 35:56Roofing which was the number one roofing
  891. 35:58supplier in the world basically that was
  892. 36:01publicly traded. So if there's an
  893. 36:04enormous amount of hail storms that hit
  894. 36:06houses then Beacon roofing was going to
  895. 36:09knock it out of the park. All right. So,
  896. 36:11now that we know that, because if you go
  897. 36:13through the history of Beacon Roofing,
  898. 36:15you can see that's a big conversation
  899. 36:17topic in their earnings reports. By the
  900. 36:20way, this is this is an important part
  901. 36:22of the process. You want to try to
  902. 36:25identify what is it that moves the
  903. 36:27needle for that company. And if you go
  904. 36:29and read like the last three to four
  905. 36:32earnings transcripts, which are free and
  906. 36:34they're out there on the internet for
  907. 36:36anyone to read, you just simply read
  908. 36:38them and it becomes very obvious what's
  909. 36:41important like like what are people
  910. 36:43worried about or what are they excited
  911. 36:44about or if they sell more of these, the
  912. 36:47company's going to be doing really well.
  913. 36:50If they sell less of this thing, it's
  914. 36:51not going to do well. Well, Beacon
  915. 36:53Roofing was all about storm season
  916. 36:57[laughter] every year.
  917. 36:58So hedge funds and investment banks,
  918. 37:02they would wait for this insurance
  919. 37:04report that comes out, I don't know,
  920. 37:06like weeks and weeks after the storm
  921. 37:08season, and it would tell you how much
  922. 37:10hail damage was done or estimated to be
  923. 37:13done. And then based on that insurance
  924. 37:16report, Beacon Roofing would move up or
  925. 37:18down, and you had to probably pay insane
  926. 37:20amounts of money just to buy that
  927. 37:21report. No regular investor got access
  928. 37:24to that report. We get screwed, right?
  929. 37:26So, the hedge funds spend the money to
  930. 37:28get the report. They're trading Beacon
  931. 37:30Roofing, and we have no clue what the
  932. 37:32hell is going on with hail storms. I was
  933. 37:34like, "How can I beat them? How can I
  934. 37:36How can I beat them?" All right.
  935. 37:39What do people do when a hail stom hits
  936. 37:44their roof and damages it? They get on
  937. 37:47the internet, they get on Google, and
  938. 37:49they type roof repair. All right? in
  939. 37:53next to real time they type roof repair.
  940. 37:56Why is this important? Because even if
  941. 37:59you are watching the weather and you're
  942. 38:01like, "Wow, there's monster hail storms
  943. 38:02in Texas, Houston, or wherever." Well,
  944. 38:06where? Like, did it hit the populated
  945. 38:08neighborhood or was it like 5 miles away
  946. 38:10in the field? Like you need to know that
  947. 38:13because even if there's a huge hail
  948. 38:15storm, you really can't assess just the
  949. 38:18broadness of the damage to homes unless
  950. 38:22you know geographically exactly where
  951. 38:24that hail hit. So the the the
  952. 38:29like guaranteed way to know that is to
  953. 38:33simply go on Google Trends, which is a
  954. 38:37tool that anyone in the world can go on,
  955. 38:39and simply look at a five-year history
  956. 38:43of the word roof repair. And you could
  957. 38:45see every spring it jumps up for obvious
  958. 38:48reasons. That's when we have hail
  959. 38:49storms, right? And this one year it
  960. 38:53jumped up like three times higher than
  961. 38:56the prior five years. So I had was
  962. 38:59already tracking the hail storms but
  963. 39:00like I do every spring. But I was like,
  964. 39:03"Okay, this is going to be a killer year
  965. 39:05for Beacon Roofing." And it was. And I I
  966. 39:07put on a really big lever bet, options
  967. 39:09bet, because I had high conviction. I've
  968. 39:12had about 75 to 80ish
  969. 39:16high conviction trades over the course
  970. 39:19of the last 18 yearsish.
  971. 39:23And when I have high conviction around a
  972. 39:26thesis, I generally don't just invest in
  973. 39:29the stock, but I lever into the
  974. 39:31investment often using options. So that
  975. 39:35if the stock goes up 30%,
  976. 39:38maybe I can make 300% of my money or 400
  977. 39:42or even 500% of my money. And that's the
  978. 39:47only way to really knock it out of the
  979. 39:49park. That's the only way that you're
  980. 39:51going to generate any type of wildly
  981. 39:54outsized returns like I have over a long
  982. 39:57period of time is when you actually come
  983. 40:00across something that you believe in
  984. 40:04meaningfully, you have to lever into
  985. 40:06that trade.
  986. 40:07>> And let's quickly explain options
  987. 40:08because there could be people out there
  988. 40:10listening that don't understand buying
  989. 40:12the stock regularly versus using
  990. 40:14options. So, if I'm not mistaken, you're
  991. 40:16using call options that expire at a
  992. 40:19certain date, and you're betting and
  993. 40:20saying that this stock is going to
  994. 40:24increase over a certain price by a
  995. 40:26certain date. And if it does, and if it
  996. 40:28blows it out of the water and it, you
  997. 40:30know, rises much more than that, you're
  998. 40:32going to earn an outsized return. Not
  999. 40:34just, like you said, if it goes up 30%,
  1000. 40:36you could make 300% potentially, but if
  1001. 40:39it doesn't, you hypothetically could
  1002. 40:41lose what? All of your money. Let's
  1003. 40:43explain options real quick to the people
  1004. 40:45who don't understand.
  1005. 40:45>> Options are options are actually pretty
  1006. 40:48simple the way that I use them. I only
  1007. 40:51use option to get leverage on my money.
  1008. 40:55And leverage is like my favorite topic
  1009. 40:57to talk about. But um basically when you
  1010. 41:00buy an option, what you're doing is
  1011. 41:03rather than spending $100 to buy stock,
  1012. 41:08you're giving someone $100 for the
  1013. 41:12option to buy 10 times that amount of
  1014. 41:16stock from them.
  1015. 41:19anytime you want within the next few
  1016. 41:22days to few weeks to few months. There's
  1017. 41:24an expiration date on the contract at a
  1018. 41:27predetermined price. And let's just
  1019. 41:29assume the predetermined price is
  1020. 41:32whatever the price is of the stock that
  1021. 41:33day. So you're betting on the fact that
  1022. 41:36over the course of that time period, the
  1023. 41:38stock is going to go up from that
  1024. 41:40predetermined price. And if it does, you
  1025. 41:44get to basically buy 10 times more stock
  1026. 41:47than you would have if you would have
  1027. 41:49just purchased the stock. And the wild
  1028. 41:52thing about options is the option value
  1029. 41:55fluctuates
  1030. 41:57on a minute-by-minute basis based on
  1031. 42:00what it would be worth if you did buy
  1032. 42:02all that stock and then sold it at the
  1033. 42:03current price. So you never have to come
  1034. 42:05up with the money to go out and buy 10
  1035. 42:07times more stock because I I if it if
  1036. 42:10the stock goes up maybe 10 or 20% that
  1037. 42:13option might go up 100 or 200%. So you
  1038. 42:16could double your money
  1039. 42:19as opposed to making 20% on your money,
  1040. 42:22right? If you're right.
  1041. 42:23>> And if you're wrong, what happens? Do
  1042. 42:24you lose just that $100 or you could
  1043. 42:26lose more than that? If if you're wrong,
  1044. 42:29let's say the stock goes down 5%.
  1045. 42:33Instead of losing 5% of your money, you
  1046. 42:37lose all of your money. So that $100
  1047. 42:39doesn't go down to 95, it goes down to
  1048. 42:41zero. So you have leverage on both
  1049. 42:44sides. But what's cool about options as
  1050. 42:47opposed to like borrowing on margin
  1051. 42:51and stuff like that is
  1052. 42:53you know what your maximum pain is going
  1053. 42:56to be. like you know that if you spend
  1054. 42:58$100 on an option, your worst case
  1055. 42:59scenario is you lose the $100 and your
  1056. 43:02best case scenario is you might turn it
  1057. 43:04into a,000 or $2,000. So you could lose
  1058. 43:07it all, but you could also five to 20x
  1059. 43:09your money if you're right. And it's a
  1060. 43:12really exciting game. It's a dangerous
  1061. 43:15game for people that are irresponsible
  1062. 43:18or trying to make fast money too quickly
  1063. 43:20um because they become addicted to it.
  1064. 43:23And like right now the hot thing in
  1065. 43:26sports wagering is not just betting your
  1066. 43:28money on a game, it's parlays. All the
  1067. 43:32kids, like I'm around my, you know, I
  1068. 43:34got a 16-year-old son and he's got a
  1069. 43:38dozen 16-year-old guy friends and I'm
  1070. 43:42there in the kitchen listening to them
  1071. 43:44and I'm like, look, they all lost all
  1072. 43:46their money again this week. I'm like,
  1073. 43:48how do you continue to lose all of your
  1074. 43:50money every week? like you should be
  1075. 43:52winning roughly half the time. And I
  1076. 43:55realized that no, they're all in like
  1077. 43:58six six game parlays, seven game parlays
  1078. 44:03because they want to be able to because
  1079. 44:04they they have basically no money,
  1080. 44:06right? So they want to be able to bet
  1081. 44:08$10 to win 200 or 300. And the only way
  1082. 44:12they can do that is if they pick the
  1083. 44:14winner of all six of these games, which
  1084. 44:16is almost impossible to do. Well, it's
  1085. 44:18it's the same thing with options.
  1086. 44:21So these younger investors, they get
  1087. 44:23involved with options and that's all
  1088. 44:25they do and then they're buying options
  1089. 44:28where the strike price, which is the
  1090. 44:30price that you get to purchase the stock
  1091. 44:32for, is like really far away from where
  1092. 44:34the stock is trading right now. Which
  1093. 44:36means the stock has to go up like a lot
  1094. 44:39for you not to lose all of your money.
  1095. 44:42But if it does, you can make like 40
  1096. 44:45times your money or 50 times your money
  1097. 44:47or 100 times your money. Right? By the
  1098. 44:49way, I did that exact thing when I was
  1099. 44:52like 20, 21, 22 trading,
  1100. 44:56it's because you don't have a lot of
  1101. 44:57money and you want to make a lot of
  1102. 44:59money. But truthfully, if you do that,
  1103. 45:02you're going to lose almost every time.
  1104. 45:04And people get so pissed off at me cuz I
  1105. 45:07talk about leverage and I talk about
  1106. 45:08options and like, Chris, you shouldn't
  1107. 45:10even talk about that stuff because, you
  1108. 45:11know, young kids look up to you and
  1109. 45:14they're going to do it. I'm like,
  1110. 45:15they're going to do it. They're gonna
  1111. 45:17lose their money while they don't have
  1112. 45:18any money and then they're going to grow
  1113. 45:20up and you know their frontal lobe is
  1114. 45:22gonna fully mature and all that stuff
  1115. 45:26and they're going to remember how dumb
  1116. 45:29they were and hopefully they're not
  1117. 45:31going to continue to make those mistakes
  1118. 45:33when they're like 28 or 30 or 40 and
  1119. 45:36they have a family and a mortgage and
  1120. 45:39they're trying to live a real life. You
  1121. 45:40got to go through it, right? You got to
  1122. 45:42go through it. And like you leverage is
  1123. 45:46everything in life. It's everything,
  1124. 45:49man. It's everything. And I don't want
  1125. 45:52people to be scared of it. Like
  1126. 45:56I man
  1127. 45:59I think [sighs]
  1128. 46:05I think I think that the biggest
  1129. 46:07difference between like wealthy and just
  1130. 46:11regular people.
  1131. 46:14I it's not about risking more of your
  1132. 46:16money, but it's about understanding
  1133. 46:22what parts of your money are responsible
  1134. 46:24to take risk with. Okay? Because every
  1135. 46:28wealthy person has buckets of money that
  1136. 46:32are oriented towards taking risk.
  1137. 46:34Whether they're doing that themsel or
  1138. 46:37whether a money manager is doing that
  1139. 46:39for them,
  1140. 46:41generally the big difference is
  1141. 46:44build people that build wealth, they
  1142. 46:46build it through leverage. And it's not
  1143. 46:49like they're taking all their money and
  1144. 46:50putting it at risk, but they understand
  1145. 46:54that with increasing amounts of risk
  1146. 46:57becomes increasing amounts, you know,
  1147. 47:00increasing reward and it means more
  1148. 47:04volatility, of course, right? Uh but if
  1149. 47:08you're not taking those risk in life, uh
  1150. 47:11you're never going to hit it out of the
  1151. 47:13park. You know, there's nothing wrong
  1152. 47:15with like getting rich slowly over, you
  1153. 47:19know, the entirety of your life, but you
  1154. 47:23don't need to wait, you know, 50 years.
  1155. 47:25But even if you're getting rich slowly,
  1156. 47:27okay, think about this.
  1157. 47:30Average market returns are are 10%. S&P,
  1158. 47:34right?
  1159. 47:36the average returns simulated over the
  1160. 47:39last hundred years in a triple lever S&P
  1161. 47:44ETF, which I know people are scared of,
  1162. 47:47but this isn't a triple leveraged like
  1163. 47:50single stock ETF. This is across the
  1164. 47:52entire S&P.
  1165. 47:55It does have periods of high volatility
  1166. 47:58and major drawdowns where you lose 50%
  1167. 48:00of your money, 70%, 80%, 90% of your
  1168. 48:03money. That sounds crazy, but over the
  1169. 48:07long term, that triple leverage ETF
  1170. 48:11generates 15%
  1171. 48:13returns as opposed to 10% returns. So,
  1172. 48:17you understand the difference. If you're
  1173. 48:20investing $1 at age 18, by the time you
  1174. 48:24turn 60, that $1
  1175. 48:28has been multiplied like 50x. So, it's
  1176. 48:31worth $50. But if you have it levered,
  1177. 48:35it's $350. So you're making seven times
  1178. 48:39the amount of money. 7x. Okay, think
  1179. 48:43about the difference there at 7x.
  1180. 48:45Because now if you're talking about
  1181. 48:48$100,000, that's a difference between
  1182. 48:50$700,000 and 3.5 million, which is a
  1183. 48:54game-changing amount of money. So is
  1184. 48:58there some tail risk in that higher risk
  1185. 49:01bucket? Of course, there's some tail
  1186. 49:03risk. There's some theoretical tail risk
  1187. 49:06that at any moment in time, if you need
  1188. 49:07to access that money, if it's bad times
  1189. 49:10and you hit it after a big draw down,
  1190. 49:13you could have gotten hit 90%. That's a
  1191. 49:16theoretical risk, but you should have a
  1192. 49:19bucket of money. or I I say you like I
  1193. 49:22say this to myself like
  1194. 49:26it's insane to me not to have a bucket
  1195. 49:29of high-risisk capital that you're going
  1196. 49:32to generate returns that are seven times
  1197. 49:34higher than if you just put them in the
  1198. 49:37market and most people don't even have
  1199. 49:38money in the market. Right? So, like
  1200. 49:42we're talking about wild differences in
  1201. 49:46how quickly you become rich. And the the
  1202. 49:48the biggest difference is once you
  1203. 49:52realize that that bucket, you have like
  1204. 49:55in my opinion at least what my research
  1205. 49:58that I've done has like a 99% chance of
  1206. 50:01generating that 7x the 35x over that
  1207. 50:04period of time, which means a 7x higher
  1208. 50:06return.
  1209. 50:08All of a sudden, you're finding money
  1210. 50:10all over your life. Trade-offs.
  1211. 50:12Everywhere you look, you're finding
  1212. 50:13trade-offs. So, you're putting money in
  1213. 50:15that high-risk account that is not
  1214. 50:19coming from your kids college education
  1215. 50:21fund. It's not coming from your
  1216. 50:23retirement account. It's coming because
  1217. 50:25you made a trade-off in life and you're
  1218. 50:27like, I want to have
  1219. 50:30a big baller account where I can get
  1220. 50:33rich quickly and I could take risk with
  1221. 50:36leverage, where I can invest on margin,
  1222. 50:38where I can invest options,
  1223. 50:41where I can put it in a triple leverage
  1224. 50:44ETF, where I can do things that are
  1225. 50:47going to generate returns that are
  1226. 50:48meaningfully higher than market returns,
  1227. 50:51not because I'm the world's best stock
  1228. 50:53picker, But just because I'm willing to
  1229. 50:56invest with leverage because it's money
  1230. 50:59that I don't care about
  1231. 51:02because every wealthy person has money
  1232. 51:04they don't care about. So why don't you
  1233. 51:07come up with money you don't care about?
  1234. 51:10Well, you're only going to do that if
  1235. 51:11you believe that money can grow into
  1236. 51:13something insanely great and like like
  1237. 51:17get you out of that terrible place where
  1238. 51:20you're relying on income for the rest of
  1239. 51:22your life.
  1240. 51:24And anybody could do this. Like actually
  1241. 51:26anybody could do this.
  1242. 51:29So I think it I think it's really
  1243. 51:31important. And when you do it, all of a
  1244. 51:33sudden you're clipping coupons. You're
  1245. 51:36making your own coffee at home. You
  1246. 51:39know, like
  1247. 51:41believe me, every second of every day
  1248. 51:44you're thinking, "How can I find money
  1249. 51:46in my life to put in that bucket?"
  1250. 51:49Because you know it's your only way out.
  1251. 51:51it's actually your only way out. Um,
  1252. 51:56and it's just like my favorite thing to
  1253. 51:57talk about because it's something
  1254. 51:58anybody can do and nobody thinks they
  1255. 52:00can do it because everyone's I can't
  1256. 52:02take that risk. I sh should be trading
  1257. 52:04on margin. I can't do options. That's
  1258. 52:06crazy. It's only crazy if you do it with
  1259. 52:08your normal money. It's not crazy if you
  1260. 52:12do it with the money that you waste at
  1261. 52:13the casino once a year. It's not crazy
  1262. 52:16if you do it with the money that you're
  1263. 52:18using to buy $18 drinks at the bar,
  1264. 52:21right? Like maybe have a extra couple of
  1265. 52:25drinks at home and then when you get to
  1266. 52:26the bar just milk a really cheap drink
  1267. 52:29and be cool with the cheap vodka, right?
  1268. 52:31Cuz it doesn't make a difference anyway.
  1269. 52:32It's all the same. So like
  1270. 52:36this is like the biggest game changer
  1271. 52:39for for just every human and it's an
  1272. 52:43unlock that no one believes is there and
  1273. 52:45it pisses me off. And so like I've made
  1274. 52:48a decision I'm going to start talking
  1275. 52:50about it like even though I get crap for
  1276. 52:51it cuz people are like they're going to
  1277. 52:53misinterpret this. People are going to
  1278. 52:55start investing on leverage and all this
  1279. 52:57stuff. They're going to lose all their
  1280. 52:58money. Well I didn't say to do that. I
  1281. 53:00said to create an account, an account
  1282. 53:01where it doesn't matter if that really
  1283. 53:03bad scenario hits at the wrong time and
  1284. 53:07you're in a major draw down and you're
  1285. 53:08like down 98%.
  1286. 53:11You got to live with that.
  1287. 53:13Yeah, I agree. Yeah. I mean, everyone
  1288. 53:15should be investing if they're not. If
  1289. 53:18they already are, then using a smaller
  1290. 53:22portion of your total portfolio and
  1291. 53:26having some level of leverage there or
  1292. 53:28some maybe you're highly concentrated
  1293. 53:30there and some smaller portion of your
  1294. 53:32portfolio seems like it could be a
  1295. 53:34value. It's obviously worked for you. I
  1296. 53:35>> I mean, imagine if your house
  1297. 53:39was your portfolio, right? You don't
  1298. 53:42protect your house from burning down by
  1299. 53:46never using your stove. Do you you you
  1300. 53:49make sure that your house the structure
  1301. 53:52is safe and fireproof
  1302. 53:54and then you figure out where you can
  1303. 53:56safely light fires like on your stove or
  1304. 53:59in the fireplace.
  1305. 54:00>> It's a good analogy.
  1306. 54:00>> Does that make sense?
  1307. 54:01>> Yeah.
  1308. 54:02>> Like like are you just going to not use
  1309. 54:04fire in your home because it's going to
  1310. 54:07burn down your house? No. There's a
  1311. 54:09there's a correct way to use fire.
  1312. 54:11There's a correct way to use leverage.
  1313. 54:13It's the same thing.
  1314. 54:18>> And let's go back to some of the the
  1315. 54:22observations that you make, right? Are
  1316. 54:24you still scrolling Tik Tok to find
  1317. 54:27information?
  1318. 54:28>> Yeah, I'm deep on Tik Tok. I'm just It's
  1319. 54:30my life.
  1320. 54:31>> Okay. And is it am I is it right that I
  1321. 54:35have notes here that you at sometimes
  1322. 54:38spend four hours a night you're reading
  1323. 54:39through Tik Tok comments, Reddit
  1324. 54:41threads, Facebook groups for to to
  1325. 54:43observe or is that still not h is that
  1326. 54:45not happening anymore?
  1327. 54:46>> That was happening for a really long
  1328. 54:48time. Uh it's not happening anymore
  1329. 54:50because I made a conscious decision this
  1330. 54:53last year
  1331. 54:55to do other things outside of investing
  1332. 54:59in my life. So, you know, I'm I'm trying
  1333. 55:02to explore other things outside of
  1334. 55:05investing, which means I don't have 4
  1335. 55:07hours a night anymore, but
  1336. 55:10I'm still spending an hour or two a day
  1337. 55:12doing it. So, little little less than
  1338. 55:14half of what I used to spend, and it's
  1339. 55:18doing exactly that. The magic is in the
  1340. 55:20comments. The gold is in the comments.
  1341. 55:22The comments is where all the alpha is.
  1342. 55:25>> What are you seeing in those comments?
  1343. 55:26That
  1344. 55:27>> everything. I'm seeing everything that's
  1345. 55:29happening in the world unfold in real
  1346. 55:31time. So,
  1347. 55:33if there is a restaurant chain that has
  1348. 55:39a new menu item, like when Chili's had
  1349. 55:43the cheese pull or even they had um
  1350. 55:47their buffalo cheese sticks, like I and
  1351. 55:50they had their they had a few different
  1352. 55:52they had a lot of good stuff happening
  1353. 55:54all at the same time and and it kind of
  1354. 55:55like went viral.
  1355. 55:58How are you going to find out about that
  1356. 55:59first on Tik Tok, right? And not because
  1357. 56:03people were doing videos about it, but
  1358. 56:06because you're going to watch the videos
  1359. 56:08that people were doing and those videos
  1360. 56:11had thousands of comments. And what were
  1361. 56:13the comments? The comments are like,
  1362. 56:15"Oh, dude, I we had it last night. It
  1363. 56:17was awesome." Or, "We're actually going
  1364. 56:18to go this weekend. Um, yeah, the pe the
  1365. 56:21cheese pole is legit." So, it's like
  1366. 56:24these sound like really stupid things,
  1367. 56:27but this is where life is now. Love it
  1368. 56:30or hate it, we all like to complain that
  1369. 56:33every person is glued to their phone
  1370. 56:3524/7 and we are. Um, this is where we're
  1371. 56:39living our life and this is where we're
  1372. 56:42expressing ourselves. And Tik Tok, you
  1373. 56:45know, going back to when it was founded,
  1374. 56:48it's always been the quirky place where
  1375. 56:51people were more open to tell the truth.
  1376. 56:56Uh people have always been more raw on
  1377. 57:00Tik Tok as opposed to the polished
  1378. 57:03uh presentation of themselves that they
  1379. 57:05put on Instagram. And that's why the
  1380. 57:08gold has always been in the on the Tik
  1381. 57:10Tok comments.
  1382. 57:12But everything is there. I mean, and by
  1383. 57:14the way, I say everything. You're not
  1384. 57:16going to find out that much about AI on
  1385. 57:19Tik Tok, right? Like, I'm not, you know,
  1386. 57:23when I do my research on the degree to
  1387. 57:25which developers
  1388. 57:28are meaningfully implementing AI at
  1389. 57:31their incumbent software company, right?
  1390. 57:34I'm not looking in the Tik Tok comments,
  1391. 57:36right? I'm I'm looking in developer
  1392. 57:38forums. I'm looking at Reddit. I'm
  1393. 57:40looking on X. Uh, so you have to know
  1394. 57:45where to look, but there's still a
  1395. 57:48tremendous amount of alpha on Tik Tok,
  1396. 57:50especially when it comes to consumer
  1397. 57:52stuff. What people are buying, what
  1398. 57:54they're doing, what their time, where
  1399. 57:55they're vacationing, what they're
  1400. 57:57eating, health, right? Like this
  1401. 58:00massive, massive movement towards
  1402. 58:03health. the last few years
  1403. 58:06has been such a gamecher for so many
  1404. 58:12companies
  1405. 58:13and it's like
  1406. 58:16it's just been just been a needle mover,
  1407. 58:18right? And and Tik Tok is where that
  1408. 58:20took place. It's all the health
  1409. 58:22influencers on Tik Tok. So
  1410. 58:25that's where that's where I hang out.
  1411. 58:28Did you make $30 million during COVID?
  1412. 58:31>> I made more than 30 million actually, a
  1413. 58:34little more. And then I lost not most of
  1414. 58:38it, but a good chunk of it on the back
  1415. 58:40end of it when I had a moment of
  1416. 58:42insanity and I got like pulled into the
  1417. 58:45world of NFTTS.
  1418. 58:46Not because I lost money on NFTTS. Um,
  1419. 58:51ironically, I I think I actually made
  1420. 58:53money on my whole NFT journey, but I was
  1421. 58:56distracted. So, I missed where I should
  1422. 59:00have been
  1423. 59:03exiting a lot of those positions and
  1424. 59:05shorting the market on the back end. I
  1425. 59:08wasn't. I was just obsessed with NFT
  1426. 59:10projects. It was like I I I had reverted
  1427. 59:13back into being like a 13-year-old kid
  1428. 59:15with a bunch of really interesting new
  1429. 59:18friends that I had made. uh through, you
  1430. 59:22know, text text groups uh that to this
  1431. 59:26day are now some of my closest friends.
  1432. 59:28So, it was all worth it. I'd do it all
  1433. 59:30again. I would do it all again just to
  1434. 59:32meet all these guys. But um I did make
  1435. 59:3530 million because I be I I was I was
  1436. 59:40basically
  1437. 59:42uh you know in using Google Translate
  1438. 59:46to read reports coming out of uh China
  1439. 59:52from doctors and from medical experts
  1440. 59:56about how severe COVID was. So, I was
  1441. 59:59very early on COVID and it was obvious
  1442. 1:00:03to me with 100% certainty that it was
  1443. 1:00:07going to become a pandemic. So, we had
  1444. 1:00:10never had a pandemic in my lifetime. And
  1445. 1:00:12it wasn't very difficult to put the
  1446. 1:00:15pieces together of what would happen if
  1447. 1:00:17we had a pandemic. The stock market's
  1448. 1:00:19going to crash, right? Like, it's just
  1449. 1:00:21not again, it's I'm not that smart. Like
  1450. 1:00:24it's just not there's nothing that I do
  1451. 1:00:26that's like dude how did you figure that
  1452. 1:00:28out? I don't know man. There's like a
  1453. 1:00:31pandemic coming out of China and it's
  1454. 1:00:34about to hit the entire world. So I'm
  1455. 1:00:38going to short airlines and casino
  1456. 1:00:41stocks because no one's going to sit at
  1457. 1:00:43a casino table and no one's going to get
  1458. 1:00:45on an airplane.
  1459. 1:00:46>> But well, let's go back. What what was
  1460. 1:00:48the catalyst? What did you observe?
  1461. 1:00:50Because when I found out about COVID
  1462. 1:00:52happening, I probably was looking
  1463. 1:00:53watching CNBC and the market crash. It
  1464. 1:00:55was probably uh what March something
  1465. 1:00:5815th 20th of 2020. But you saw something
  1466. 1:01:01prior. What did you see?
  1467. 1:01:02>> So So we all
  1468. 1:01:04knew about COVID as a news story that
  1469. 1:01:08was kind of like bubbling up from China.
  1470. 1:01:12I had the curiosity
  1471. 1:01:15once I like everything that I see when I
  1472. 1:01:18hear about something when I see
  1473. 1:01:19something I have that natural curiosity
  1474. 1:01:22to say okay is this real or not is this
  1475. 1:01:26a big deal or not. So I go on that
  1476. 1:01:30journey every time I hear about
  1477. 1:01:32something. So that was one of a thousand
  1478. 1:01:34things I heard about that year and I
  1479. 1:01:36started researching it. One of the
  1480. 1:01:39things I was acutely aware of was, and
  1481. 1:01:42this is from one of my favorite bl
  1482. 1:01:44books, uh, Nim Taleb's Black Swan talks
  1483. 1:01:49a lot about the psychology of humans. We
  1484. 1:01:52will not accept anomalies. We just don't
  1485. 1:01:55accept them to be real until they're
  1486. 1:01:56right in front of our face and they're
  1487. 1:01:57happening. So, if there's no precedent
  1488. 1:02:00for something, if there's no historical
  1489. 1:02:03reference point for something,
  1490. 1:02:06we just don't believe it. if it's
  1491. 1:02:08happening for the first time. Okay? So
  1492. 1:02:10like we had never had a pandemic in our
  1493. 1:02:12life. We had heard about the bird flu,
  1494. 1:02:14this and that. It never materializes. So
  1495. 1:02:16we just always assume that it's the same
  1496. 1:02:19thing. However, that's not how the world
  1497. 1:02:22works.
  1498. 1:02:24Eventually the thing happens. Look at
  1499. 1:02:26history. Eventually all the things
  1500. 1:02:30happen. They just don't happen very
  1501. 1:02:32often. You're going to have the crazy
  1502. 1:02:34flood. You're going to have, and this is
  1503. 1:02:37this is dark, right? But like
  1504. 1:02:40the comet's eventually gonna hit Earth,
  1505. 1:02:43okay? Like that's going to happen. Uh
  1506. 1:02:46eventually there will be the big bad
  1507. 1:02:48virus. We can't figure out. There will
  1508. 1:02:50be the the war that gets out of control.
  1509. 1:02:53Like all the stuff will eventually
  1510. 1:02:56happen.
  1511. 1:02:58So, I just went a few levels deeper and
  1512. 1:03:01did the hard work to assess that CO was
  1513. 1:03:04real when no one else was willing to do
  1514. 1:03:06that because they're lazy. That that's
  1515. 1:03:08the answer to the question. Most
  1516. 1:03:10investors are lazy. They're just lazy.
  1517. 1:03:12They're still lazy to this day. I think
  1518. 1:03:14almost every investor is lazy. So, I'm a
  1519. 1:03:18little less lazy than other investors.
  1520. 1:03:20So, I did the work. Once I realized it
  1521. 1:03:23was real, I started shorting airline
  1522. 1:03:25stocks and casino stocks. I was too
  1523. 1:03:27early. I was losing insane amounts of
  1524. 1:03:29money every week. So, there were weekly
  1525. 1:03:31options, like 10ish% of my portfolio
  1526. 1:03:33every week for a few weeks,
  1527. 1:03:36freaking out. Uh eventually,
  1528. 1:03:40uh there was a moment when the market
  1529. 1:03:42cracked, but it was like I think it went
  1530. 1:03:45down like 2%. I was so upset. I was I
  1531. 1:03:47mean I wasn't upset I want the market to
  1532. 1:03:50like by the way I didn't want the
  1533. 1:03:52pandemic to happen but I knew there was
  1534. 1:03:54nothing that I was going to do in my
  1535. 1:03:56living room to stop this pandemic from
  1536. 1:03:58happening.
  1537. 1:04:00I wanted to make a lot of money off of
  1538. 1:04:02it because someone was going to make
  1539. 1:04:03money off it trading it if some it's not
  1540. 1:04:06going to be a hedge fund. It's going to
  1541. 1:04:07be me. Okay. Like I'd ra better me than
  1542. 1:04:10a hedge fund. So I this is what I do.
  1543. 1:04:14It's my life. So, I was going to make
  1544. 1:04:17money off when the market eventually got
  1545. 1:04:21hit. It was just taking way too long
  1546. 1:04:24again because investors are lazy and it
  1547. 1:04:27took them too long to realize what was
  1548. 1:04:28happening. Well, eventually they
  1549. 1:04:29realized it. the market hit and I had
  1550. 1:04:32the biggest, you know, biggest week of
  1551. 1:04:35my trading career and
  1552. 1:04:39I already had a plan in place
  1553. 1:04:42to go long the basket of stocks that I
  1554. 1:04:45knew were going to benefit from the
  1555. 1:04:47pandemic that I also knew were going to
  1556. 1:04:51crash first because again, investors are
  1557. 1:04:54lazy and they weren't going to do the
  1558. 1:04:57work to re to realize that these stocks
  1559. 1:05:00should not be going down, they should be
  1560. 1:05:02going up. But you have to know that,
  1561. 1:05:04right? So, all the work from home stuff,
  1562. 1:05:06right? You know, Huelet Packard that
  1563. 1:05:09makes printers cuz I knew people would
  1564. 1:05:11be doing school from home. Bicycles cuz
  1565. 1:05:14that's pretty much the only activity you
  1566. 1:05:16can do. RVs because you can't go to a
  1567. 1:05:18hotel. You got to go camping in an RV.
  1568. 1:05:21Boats. Uh four-wheelers.
  1569. 1:05:25Uh, I mean, Amazon because now you're
  1570. 1:05:28ordering all your stuff to your house.
  1571. 1:05:30Uh, Shopify because all the digital
  1572. 1:05:33companies were going to boom. Pelaton
  1573. 1:05:34because you can't go to the gym anymore.
  1574. 1:05:36You got to work out in your house. So, I
  1575. 1:05:38had a massive basket of these companies.
  1576. 1:05:40I kept adding to it. And I just watched
  1577. 1:05:43this basket of companies get destroyed
  1578. 1:05:45when the stock market went down. I was
  1579. 1:05:47like, "Oh, this is going to be the
  1580. 1:05:48trade." Like the short trade on the
  1581. 1:05:51market was big,
  1582. 1:05:53but I knew this was going to be way
  1583. 1:05:54bigger. And I I knew I would never be
  1584. 1:05:58able to time the market bottom. I knew I
  1585. 1:06:00would be late. And I was late. I was
  1586. 1:06:03exactly two days late. So two days after
  1587. 1:06:06the market bottomed and we started
  1588. 1:06:08printing all that money and the Fed got
  1589. 1:06:11involved and the market started to
  1590. 1:06:13rebound, I was like, "Okay, this is it."
  1591. 1:06:17And I invested in all those companies
  1592. 1:06:19and that's that's when I made the real
  1593. 1:06:21money, right? Because those companies
  1594. 1:06:22went up
  1595. 1:06:253x, 5x, 7x, Schwin B. There's a small
  1596. 1:06:28Canadian company that made like car
  1597. 1:06:31seats and Schwin bicycles. That's all
  1598. 1:06:33they did. They owned Schwin Bicycle, the
  1599. 1:06:35company, and a car seat company. No one
  1600. 1:06:38knew what this company was. Like it was
  1601. 1:06:39a nothing company. they went up like I
  1602. 1:06:41don't know 10x or something like that
  1603. 1:06:43over the so these aren't investing in
  1604. 1:06:46options just the stock went up like 10x
  1605. 1:06:49[laughter] so
  1606. 1:06:51it was just like this I this crazy
  1607. 1:06:55moment in time for me because I always
  1608. 1:06:57say that like as as an observational
  1609. 1:06:59investor or social arb investor
  1610. 1:07:02that that the biggest opportunities are
  1611. 1:07:05moments of big change in the world like
  1612. 1:07:08the more change the bigger the
  1613. 1:07:10opportunity
  1614. 1:07:11And the quicker that that change is
  1615. 1:07:13happening, the bigger the opportunity
  1616. 1:07:15because companies are either getting
  1617. 1:07:18destroyed or flourishing quickly because
  1618. 1:07:21there's just like all of a sudden people
  1619. 1:07:24want that product that didn't want it
  1620. 1:07:25yesterday, right? All of a sudden this
  1621. 1:07:28company is in the right place, right
  1622. 1:07:30time or bad place, wrong time, right?
  1623. 1:07:34And so you need the change to happen for
  1624. 1:07:37the opportunity to open up. Well, we had
  1625. 1:07:40never had a change as big or as fast
  1626. 1:07:45in my lifetime as what co brought to
  1627. 1:07:49every company in the world. So, that was
  1628. 1:07:52the moment I had always waited for to
  1629. 1:07:54trade.
  1630. 1:07:55And the only time since then, I didn't
  1631. 1:07:58think we'd ever get a moment like that
  1632. 1:07:59again until AI. And when I got on chat
  1633. 1:08:04GPT for the first time with everybody
  1634. 1:08:06else, I I literally just like I didn't
  1635. 1:08:11talk to anyone for a week. I went into
  1636. 1:08:13like a meditative state cuz I was like,
  1637. 1:08:16I got to I spent a lot of time on it. I
  1638. 1:08:18was like, dude, is this real? Like this
  1639. 1:08:19is crazy.
  1640. 1:08:21And I was like, if this is real and if
  1641. 1:08:24this continues along the trajectory that
  1642. 1:08:27I think is possible,
  1643. 1:08:30this will become the biggest thing to
  1644. 1:08:33ever happen in my lifetime, which will
  1645. 1:08:35mean that this will become the biggest
  1646. 1:08:37opportunity to invest as an
  1647. 1:08:39observational investor and make insane
  1648. 1:08:42amounts of money. And I went all in on
  1649. 1:08:44the AI trade. And for anyone that's been
  1650. 1:08:47following me the last, I don't know,
  1651. 1:08:49three and a half years, you know that
  1652. 1:08:52where I used to talk about the hottest
  1653. 1:08:54shoe trend of the day to trade Crocs or
  1654. 1:08:57Uggs or whatever, I've been kind of
  1655. 1:08:59laser focused, distracted, and consumed
  1656. 1:09:02by the AI trade. And it's been one of
  1657. 1:09:05the most lucrative trades of my life.
  1658. 1:09:07companies like, you know, Palunteer,
  1659. 1:09:11uh, you know, just name them, all all
  1660. 1:09:14the AI stocks, right? From the memory
  1661. 1:09:16stocks to the data centers. Uh, I've
  1662. 1:09:21been in on just about every single AI
  1663. 1:09:23trade because I had mentally prepared
  1664. 1:09:26myself for the trade and I was zoned in
  1665. 1:09:30and waiting for it. And to this day, I'm
  1666. 1:09:34still working on it. And I still think
  1667. 1:09:36going forward that it's the biggest
  1668. 1:09:38opportunity for investors and we
  1669. 1:09:43I don't know I want to say we probably
  1670. 1:09:45won't ever get this again for a very
  1671. 1:09:46long time if ever. I could be wrong
  1672. 1:09:49because it's I I don't like to predict
  1673. 1:09:50the future. I just like to stay focused
  1674. 1:09:52on assessing the the ground truth of of
  1675. 1:09:55the present.
  1676. 1:09:57But
  1677. 1:09:58I am a little concerned with will there
  1678. 1:10:03be another mega opportunity for
  1679. 1:10:04investors after the AI trade is over. I
  1680. 1:10:06don't think it's even close to being
  1681. 1:10:07over by the way. But
  1682. 1:10:09>> are we still early on the AI trade?
  1683. 1:10:11>> I I I don't know if I would use the word
  1684. 1:10:13early. It just goes through phases. I
  1685. 1:10:15talked about this. There was like this
  1686. 1:10:17discovery phase. Uh there was this
  1687. 1:10:21magical moment. Chachi BT, right? And
  1688. 1:10:23that was the Nvidia phase. Nvidia was
  1689. 1:10:25actually my first investment in AI uh
  1690. 1:10:28that I knocked it out of the park on.
  1691. 1:10:29And then there was the infrastructure
  1692. 1:10:31wave which we're still in. Like we're
  1693. 1:10:33still in the infrastructure wave. Uh but
  1694. 1:10:35this next big wave I think I call it the
  1695. 1:10:38AI efficiency wave. And it's the biggest
  1696. 1:10:42part of the AI cycle because up until
  1697. 1:10:44now there's only been like I don't know
  1698. 1:10:4720 or 30 companies that have really
  1699. 1:10:49meaningfully benefited from artificial
  1700. 1:10:51intelligence as part of the
  1701. 1:10:53infrastructure layer. They either make
  1702. 1:10:54chips or they make data centers or
  1703. 1:10:57they're involved with energy or memory,
  1704. 1:11:00right?
  1705. 1:11:01But at some point in time, I firmly
  1706. 1:11:06believe that we are going to see massive
  1707. 1:11:10meaningful
  1708. 1:11:12increases in productivity and efficiency
  1709. 1:11:16that AI is going to bring to almost
  1710. 1:11:18every major company on Earth, especially
  1711. 1:11:22those companies that are spending
  1712. 1:11:26massive amounts of money on just
  1713. 1:11:30repetitive
  1714. 1:11:31human type of work, right? But even
  1715. 1:11:34beyond that, just the degree to which
  1716. 1:11:37artificial intelligence, even without
  1717. 1:11:40displacing humans,
  1718. 1:11:42can actually help these companies
  1719. 1:11:45optimize their businesses. the degree to
  1720. 1:11:48which artificial intelligence can help
  1721. 1:11:52every company in the world figure out a
  1722. 1:11:55better, cheaper way to manufacture
  1723. 1:11:58whatever it is that they manufacture or
  1724. 1:12:00how to deliver whatever it is that they
  1725. 1:12:02deliver to their end customers. AI is
  1726. 1:12:05going to deliver productivity increases
  1727. 1:12:09everywhere. Okay, in terms of as because
  1728. 1:12:12we're democratizing intelligence. So,
  1729. 1:12:15it's not just about displacing human
  1730. 1:12:17employees. I actually don't even think
  1731. 1:12:19that's going to be a really big deal. I
  1732. 1:12:21think it's going to be more about
  1733. 1:12:23allowing companies to expand
  1734. 1:12:27where they couldn't before because there
  1735. 1:12:29were not enough humans
  1736. 1:12:32to expand, right, into areas they want
  1737. 1:12:35to expand into. And now they could do
  1738. 1:12:38more with the humans they have by
  1739. 1:12:41retraining them to do different things
  1740. 1:12:44to be more optimized with their talent
  1741. 1:12:46and their time by leveraging AI. Of
  1742. 1:12:49course, I know I'm an optimist, but this
  1743. 1:12:52is my thesis.
  1744. 1:12:54Um, and that so many of the world's
  1745. 1:12:58companies are going to see massive jumps
  1746. 1:13:01in both revenue
  1747. 1:13:03and in earnings power because they will
  1748. 1:13:08be optimized because the intelligence
  1749. 1:13:12layer will be fully democratized and
  1750. 1:13:14free. And so that's the efficiency wave.
  1751. 1:13:18And the companies that are probably best
  1752. 1:13:20positioned to benefit more than anyone
  1753. 1:13:23else are companies that have
  1754. 1:13:25distribution because distribution is
  1755. 1:13:29just really hard to replicate and takes
  1756. 1:13:32years and years and years to build out.
  1757. 1:13:35So if you're a company that's been
  1758. 1:13:38operating for years to decades and you
  1759. 1:13:42have massive distribution
  1760. 1:13:45around the world to clients, to
  1761. 1:13:47customers, whether it's physical product
  1762. 1:13:50or not physical product. Uh you have
  1763. 1:13:53relationships, right? You have vendor
  1764. 1:13:55relationships, you have supply chain
  1765. 1:13:57relationships, you have reseller
  1766. 1:13:59relationships. There are so many aspects
  1767. 1:14:02of the business world that are ex
  1768. 1:14:06exceedingly difficult to just easily
  1769. 1:14:10replicate quickly. So once the
  1770. 1:14:13intelligence layer becomes free and
  1771. 1:14:15allows companies to optimize what they
  1772. 1:14:18do, the companies that have the built-in
  1773. 1:14:21distribution are going to win. Not
  1774. 1:14:24necessarily a startup because normally a
  1775. 1:14:27startup wins because they're more
  1776. 1:14:29innovative, right? The they're capable
  1777. 1:14:32of doing things quicker.
  1778. 1:14:35Well,
  1779. 1:14:36in a world of AI,
  1780. 1:14:39even the big companies will have the
  1781. 1:14:41ability to innovate on their products
  1782. 1:14:42instantaneously,
  1783. 1:14:44right? So, like if you come up with a
  1784. 1:14:48great new way to improve a product and
  1785. 1:14:50you're like, "We're going to improve
  1786. 1:14:52this product because that big incumbent,
  1787. 1:14:55their product's just kind of crappy."
  1788. 1:14:56Well, the big incumbent's AI agents are
  1789. 1:14:59already thought of that idea. You know
  1790. 1:15:01what I'm saying? [laughter] Already
  1791. 1:15:02working on it. So like, yeah, no one at
  1792. 1:15:04Hey, okay, nobody at the big incumbent
  1793. 1:15:07cares enough
  1794. 1:15:09or to actually innovate,
  1795. 1:15:13but the AI agents that they have working
  1796. 1:15:15for them do. Okay, so like I act my
  1797. 1:15:19thesis is that the big companies that
  1798. 1:15:21have the distribution are actually going
  1799. 1:15:23to massively benefit from this AI
  1800. 1:15:26efficiency wave. And where that gets
  1801. 1:15:28really exciting is that if I'm correct
  1802. 1:15:32can become the driver for the entirety
  1803. 1:15:36of the stock market and capital markets
  1804. 1:15:39to grow meaningfully as opposed to just
  1805. 1:15:42the 20 or 30 or 40 companies that are
  1806. 1:15:45deep in the AI infrastructure layer.
  1807. 1:15:47Okay, that means everybody wins.
  1808. 1:15:50All the investors win. Capital markets
  1809. 1:15:53wins. By the way, humans win because
  1810. 1:15:58when these companies win, they need they
  1811. 1:16:01have more money. They want to expand.
  1812. 1:16:04And yes, you know, every bit of
  1813. 1:16:06expansion requires less humans than
  1814. 1:16:10before, but they're expanding. So
  1815. 1:16:12hopefully, I think everybody's going to
  1816. 1:16:14have really great jobs as a result of
  1817. 1:16:16this. And this is where people really
  1818. 1:16:18get pissed off cuz like everybody wants
  1819. 1:16:20to be a doomer. Are we going to have
  1820. 1:16:22obstacles? Are we going to have sectors
  1821. 1:16:24of the economy where people lose jobs?
  1822. 1:16:26Yes. Do we need to help those people?
  1823. 1:16:28100%. I want us more focused on helping
  1824. 1:16:32the people as opposed to helping the
  1825. 1:16:34jobs. I want the jobs to go away and to
  1826. 1:16:38become new better jobs. I want to help
  1827. 1:16:42the people that get left out. And the
  1828. 1:16:45best way to help those people, well,
  1829. 1:16:48temporarily we have to come up with
  1830. 1:16:49innovative ways just to patch them
  1831. 1:16:51through this process. But the best way
  1832. 1:16:53to help those people is to provide a
  1833. 1:16:57much larger
  1834. 1:16:59growth trajectory for the global economy
  1835. 1:17:02that will want to bring those people
  1836. 1:17:04back into it with higher [snorts]
  1837. 1:17:06paying, more interesting
  1838. 1:17:09jobs than before. And not just those
  1839. 1:17:11people, but their kids and their
  1840. 1:17:13grandkids, right? And so, like, I don't
  1841. 1:17:15know why everybody's so negative.
  1842. 1:17:18I don't I never thought I would be the
  1843. 1:17:20positive guy in this world, but I guess
  1844. 1:17:22I'm the only guy that's thinking
  1845. 1:17:23positively about all this. And we'll see
  1846. 1:17:26if I'm right. I hope I'm right. Right.
  1847. 1:17:28But like, you got to have the right
  1848. 1:17:30attitude for this to even have a
  1849. 1:17:32starting point for building the new
  1850. 1:17:35economy to where we can all flourish.
  1851. 1:17:37Let's let let's take the other side
  1852. 1:17:39there, which is I've had two people
  1853. 1:17:42recently who've sat in that same chair
  1854. 1:17:45who both believe that if we reach ASI or
  1855. 1:17:50artificial super intelligence,
  1856. 1:17:52an intelligent system that's more
  1857. 1:17:55intelligent than all humans combined in
  1858. 1:17:58every subject matter.
  1859. 1:18:00They've both have told me and one is now
  1860. 1:18:02has just moved to Washington to petition
  1861. 1:18:05government on this. They both truly
  1862. 1:18:07believe and one's been studying AI for
  1863. 1:18:0920 years, AI safety. They both truly
  1864. 1:18:12believe that artificial super
  1865. 1:18:14intelligence will wipe out all of
  1866. 1:18:15humanity. Not just we're going to lose
  1867. 1:18:17our jobs. That it will it'll look at
  1868. 1:18:20humans as we look at ants. Okay, we have
  1869. 1:18:22to build this road. There's going to be
  1870. 1:18:24ants that are going to die. What do you
  1871. 1:18:27think about that?
  1872. 1:18:29>> So the two ideas are not like, you know,
  1873. 1:18:32mutually exclusive, right? like like so
  1874. 1:18:35they could both be correct to some
  1875. 1:18:37extent.
  1876. 1:18:38Uh
  1877. 1:18:40I tend to believe they are correct if we
  1878. 1:18:46don't do something about it. Now but
  1879. 1:18:50know this because I've spent a lot of
  1880. 1:18:52time on this too.
  1881. 1:18:54Historically
  1882. 1:18:56again a lot of this comes down to like
  1883. 1:18:59the psychology of humans and how we
  1884. 1:19:01behave.
  1885. 1:19:02Historically, we don't get our crap
  1886. 1:19:05together until we absolutely have to.
  1887. 1:19:08Okay? Admittedly, we've done a horrible
  1888. 1:19:11job, horrible job at providing like,
  1889. 1:19:18you know, a safety framework for
  1890. 1:19:20artificial intelligence. It's actually
  1891. 1:19:22disgusting that we've got this far
  1892. 1:19:25without even communicating really that
  1893. 1:19:28much across labs, across countries,
  1894. 1:19:31across governments. We're not even
  1895. 1:19:33trying. Like, it's so depressing to
  1896. 1:19:37think about that. This is the biggest
  1897. 1:19:40existential threat that I've seen to
  1898. 1:19:43humanity ever since I've been alive. And
  1899. 1:19:46no one's even doing anything about it.
  1900. 1:19:49And I'm an optimist. as you can tell
  1901. 1:19:52from everything I've said.
  1902. 1:19:55[sighs]
  1903. 1:19:56My hope
  1904. 1:19:58[laughter]
  1905. 1:20:00is that it's going to get real quickly
  1906. 1:20:03and that we're going to wake up and do
  1907. 1:20:05something about it. Historically,
  1908. 1:20:09we usually do.
  1909. 1:20:12I don't know.
  1910. 1:20:13>> Their pitch or their counter-argument to
  1911. 1:20:15that is you you only know once you've
  1912. 1:20:18reached it. Once you've reached
  1913. 1:20:19artificial super intelligence, it's too
  1914. 1:20:21late. And we may reach it in a year,
  1915. 1:20:23three, it's hard to say exactly when,
  1916. 1:20:25but in short order, it'll be reached if
  1917. 1:20:27we don't put guard rails now. And
  1918. 1:20:29there's no financial incentives right
  1919. 1:20:31now to have those guardrails. Whereas
  1920. 1:20:33where the lobbying is coming from these
  1921. 1:20:34big companies who have money, who are
  1922. 1:20:36just incentivized [clears throat] by
  1923. 1:20:37making more money, there's there's no
  1924. 1:20:39there has to be government intervention.
  1925. 1:20:40And that's just for us. That doesn't
  1926. 1:20:42count China. That doesn't count Russia
  1927. 1:20:43or other places. So the people that I've
  1928. 1:20:45talked to in in around AI that are deep
  1929. 1:20:49in it have all expressed this type of
  1930. 1:20:52concern. And I I think there's probably
  1931. 1:20:55a bigger concern that happens before
  1932. 1:20:58that.
  1933. 1:21:00You know, they're worried about
  1934. 1:21:03super intelligence.
  1935. 1:21:06I'm I'm concerned about things that
  1936. 1:21:09happen before super intelligence. I'm
  1937. 1:21:12concerned about bad actors.
  1938. 1:21:15It doesn't take super intelligence for a
  1939. 1:21:18bad actor to get access because it only
  1940. 1:21:20takes one bad actor or a group to get
  1941. 1:21:24access to these tools even before they
  1942. 1:21:27become super intelligent
  1943. 1:21:30to figure out how to cause mass
  1944. 1:21:32destruction in the most optimized way
  1945. 1:21:34ever. I'm way more concerned about that
  1946. 1:21:37right now.
  1947. 1:21:39I'm not saying we shouldn't be working
  1948. 1:21:41on both, but I think my problem happens
  1949. 1:21:44before ASI
  1950. 1:21:45>> and maybe that's when they take notice
  1951. 1:21:47and start to build some guard rails in.
  1952. 1:21:50>> I I hope um
  1953. 1:21:53I'm not the guy to solve those problems
  1954. 1:21:56and I try not to think about it because
  1955. 1:21:59I know I'm not going to solve those
  1956. 1:22:01problems. I hope other people do and
  1957. 1:22:03I'll support anyone that is trying to
  1958. 1:22:06solve those problems. And to some
  1959. 1:22:08extent, I don't want to, you know,
  1960. 1:22:12I don't want to get in that dark world
  1961. 1:22:15the next however many years of my life I
  1962. 1:22:18have to be obsessed about it and
  1963. 1:22:20thinking about it cuz if it's going to
  1964. 1:22:21happen, it's going to happen. Life is
  1965. 1:22:23pretty good right now still, right? So,
  1966. 1:22:26I want to enjoy life before that
  1967. 1:22:28happens. I mean, I'm just being honest
  1968. 1:22:30with you. Like, we all have to make our
  1969. 1:22:32own decisions. Like if I was in a place
  1970. 1:22:34where I thought, "Hey, I'm the right
  1971. 1:22:36person to solve that problem, I'd get my
  1972. 1:22:39butt up and solve it." But I I don't
  1973. 1:22:40think I am. I know there are people out
  1974. 1:22:42there that are great at what they do.
  1975. 1:22:45Um, and I really really hope that
  1976. 1:22:48they're taking this seriously. I hope
  1977. 1:22:50that this is their calling. Like I hope
  1978. 1:22:52there are a ton of people out there that
  1979. 1:22:56are selfless in terms of how they think
  1980. 1:22:58or not. Doesn't matter. They just know
  1981. 1:23:00that this is their calling that they can
  1982. 1:23:02execute and make a difference. And I
  1983. 1:23:06hope they stand up, you know, soon and
  1984. 1:23:09ruffle some feathers and make things
  1985. 1:23:11happen. I think they will have support
  1986. 1:23:13from people. Like every year that we go,
  1987. 1:23:17probably every month at this point,
  1988. 1:23:19right? I think people will become more
  1989. 1:23:22aware of the dangers that come with AI.
  1990. 1:23:25>> Yeah. Yeah. Yeah, and I'm trying to do
  1991. 1:23:27my part by giving them a platform to
  1992. 1:23:30speak out so more people can understand
  1993. 1:23:31this. Okay, let's go back to trading.
  1994. 1:23:33Um, you've said that the best traders
  1995. 1:23:35only make large trades maybe every 5
  1996. 1:23:38years or 10 years. It's when I when
  1997. 1:23:40people think about trading, I feel like
  1998. 1:23:42they may think, oh, you're sitting there
  1999. 1:23:44in front of a computer, you're just
  2000. 1:23:45hitting buttons, you're trading all day.
  2001. 1:23:46But it seems like from the stuff you
  2002. 1:23:48talked about, some of these huge major
  2003. 1:23:50trades in major trends happen every 5
  2004. 1:23:55years, every decade. This could be years
  2005. 1:23:57before another huge movement comes
  2006. 1:23:59before you make a crazy huge bet. And I
  2007. 1:24:01know you just made a huge uh huge bet in
  2008. 1:24:03Amazon.
  2009. 1:24:04>> Yeah. I mean, so there are times when
  2010. 1:24:08the trades are more obvious. This is one
  2011. 1:24:11of those times, right? There's just a
  2012. 1:24:13lot of these trades and they're really
  2013. 1:24:14obvious and they're really big. There's
  2014. 1:24:18always trades out there to make. You
  2015. 1:24:19just kind of have to like work harder to
  2016. 1:24:22find them. At this point, like during
  2017. 1:24:25COVID with all those trades, they were
  2018. 1:24:27just like falling from the sky. And and
  2019. 1:24:29and with the AI trade, it's not too far
  2020. 1:24:33off from that. It's like, okay, who
  2021. 1:24:35makes the chips? You know, who makes the
  2022. 1:24:38data centers? What do the data centers
  2023. 1:24:40need to operate? You know, like I'm
  2024. 1:24:41invested in a couple foreign companies
  2025. 1:24:43in Japan that are like, "Oh, they need
  2026. 1:24:45this scanning equipment to test, you
  2027. 1:24:48know, the integrity of the chips before
  2028. 1:24:50they go into the rack." Like that
  2029. 1:24:52company's going to be a winner. Like,
  2030. 1:24:54it's not that difficult.
  2031. 1:24:57When you get beyond these periods of
  2032. 1:24:59like insane amounts of change happening
  2033. 1:25:02in the world,
  2034. 1:25:03the opportunities are a little harder to
  2035. 1:25:05find. Like, yeah, if you were one of the
  2036. 1:25:07early people that were fortunate enough
  2037. 1:25:09to have a friend that drove a Tesla and
  2038. 1:25:11you got in one, you're like, "Okay, this
  2039. 1:25:13is a game changer. I'm investing in
  2040. 1:25:15Tesla." Boom. Right place, right time.
  2041. 1:25:17Tesla was a lifedee defining investment
  2042. 1:25:20for you. And I know a lot of guys that
  2043. 1:25:24might never make another great
  2044. 1:25:25investment again, but the fact that they
  2045. 1:25:27invested in Tesla at the right time is
  2046. 1:25:30going to make them a top 1% investor
  2047. 1:25:33in, you know, just because they did and
  2048. 1:25:36they invested a lot. Like a lot of these
  2049. 1:25:38guys like put like 20, 30, 40% of their
  2050. 1:25:41liquid net worth in Tesla when it was
  2051. 1:25:43basically nothing. And now they're
  2052. 1:25:44cajillionaires, right? [sighs]
  2053. 1:25:46And they deserve it. Uh but there's a
  2054. 1:25:50lot there's a lot of those stories,
  2055. 1:25:51right? You only need to capture like one
  2056. 1:25:53or two of them really over your
  2057. 1:25:55lifetime. So yeah, if you can capture
  2058. 1:25:57one every 5 to 10 years, you're doing
  2059. 1:25:59great. But but but again, you have to be
  2060. 1:26:02willing to put a lot of money in, maybe
  2061. 1:26:05levered. So if you don't have an account
  2062. 1:26:08where you can do that with, then you're
  2063. 1:26:11just going to hit another single.
  2064. 1:26:13But you want an account where you could
  2065. 1:26:15hit home runs, you know, grand slams,
  2066. 1:26:17right? Like you want to have that
  2067. 1:26:19account because you never know when it's
  2068. 1:26:20going to fall in your lap
  2069. 1:26:23and you want to understand how to use
  2070. 1:26:25the tools of leverage. You want to
  2071. 1:26:27become comfortable with them so that in
  2072. 1:26:323 years or eight years when that thing
  2073. 1:26:35happens you're like I know exactly what
  2074. 1:26:37to do. I've been waiting for this. When
  2075. 1:26:39COVID hit I knew exactly what to do.
  2076. 1:26:40I've been waiting for it. Um
  2077. 1:26:44when this AI thing hit, I've been
  2078. 1:26:46waiting for this. Let's talk about Tesla
  2079. 1:26:47for a second. You mentioned you
  2080. 1:26:48mentioned Tesla. Do you think humanoids
  2081. 1:26:52is the is going to be the next big
  2082. 1:26:54thing? If so, do you think Tesla wins
  2083. 1:26:56that market? Is it another company like
  2084. 1:26:57Figure AI or some of these others? Is
  2085. 1:27:00that another big trend like a similar to
  2086. 1:27:02an AI that can essentially take over and
  2087. 1:27:04be one of these huge mega wins?
  2088. 1:27:08>> Yeah. As as people know, I was probably
  2089. 1:27:10the earliest robot investor because I
  2090. 1:27:12just happened to meet the founders of
  2091. 1:27:14one of the big three robot companies
  2092. 1:27:16eight years ago before robots were
  2093. 1:27:18robots. Uh I I believe that generalized
  2094. 1:27:22robotics,
  2095. 1:27:23right? So robots that are fully
  2096. 1:27:27generalized in their capabilities,
  2097. 1:27:29meaning that they could actually do
  2098. 1:27:31anything. One robot that could more or
  2099. 1:27:33less do anything that a human could do.
  2100. 1:27:37Whether it looks exactly like a human or
  2101. 1:27:39not is kind of irrelevant. I think that
  2102. 1:27:41will be the biggest industry that we've
  2103. 1:27:43ever seen materialize. I think it will
  2104. 1:27:46change economies. I think it will
  2105. 1:27:52I mean it turns
  2106. 1:27:55it turns physical labor into software
  2107. 1:27:57basically. It's how we should be
  2108. 1:27:59thinking about it. You
  2109. 1:28:03get near infinite scaling in the world.
  2110. 1:28:07And there's nothing we can't accomplish
  2111. 1:28:09anymore because the biggest bottleneck
  2112. 1:28:12historically has always been physical
  2113. 1:28:16labor or our limitations on our
  2114. 1:28:19capabilities to physically construct,
  2115. 1:28:22right, and build. But we're about to
  2116. 1:28:25have democratized intelligence. And once
  2117. 1:28:28we get democratized
  2118. 1:28:32physical labor, you put those two worlds
  2119. 1:28:34together and the possibilities are truly
  2120. 1:28:38infinite both here and where throughout
  2121. 1:28:42the universe, right?
  2122. 1:28:44So, it's just a matter of time. It I
  2123. 1:28:47it's not to me it's not like do you
  2124. 1:28:50believe, it's when do you believe? Is is
  2125. 1:28:53that a market where it's winner take all
  2126. 1:28:55or is that a market where Tesla and some
  2127. 1:28:56of these other there could be multiple
  2128. 1:28:58winners? You know, is it like search or
  2129. 1:29:00is it something else?
  2130. 1:29:01>> It's definitely not a winner take all
  2131. 1:29:03market. That that I I can say that with
  2132. 1:29:05confidence.
  2133. 1:29:06>> Why is that?
  2134. 1:29:07>> Because
  2135. 1:29:09the world of generalized robotics is
  2136. 1:29:11going to move meaningfully slower than
  2137. 1:29:13anybody understands.
  2138. 1:29:15Uh
  2139. 1:29:17you have hardware involved, right? And
  2140. 1:29:21when you have hardware involved
  2141. 1:29:24and you have generalization involved and
  2142. 1:29:26you have safety involved and you have
  2143. 1:29:29processes involved with with putting
  2144. 1:29:32these things to work, we've never done
  2145. 1:29:35that before. You have deployment
  2146. 1:29:37challenges. So the deployment of
  2147. 1:29:40generalized robots into the world is
  2148. 1:29:43going to happen really slowly because
  2149. 1:29:45each deployment is going to require a
  2150. 1:29:48massive amount of change transformation.
  2151. 1:29:51What I mean by that is when IBM created
  2152. 1:29:55mainframes, I don't know, back in the
  2153. 1:29:5780s, if you were, I don't know, a big
  2154. 1:30:01company that manufactured
  2155. 1:30:04food,
  2156. 1:30:06they would deliver a mainframe to you.
  2157. 1:30:09You didn't just become a company that
  2158. 1:30:11now operates off of a computer because
  2159. 1:30:12you have a mainframe sitting in your
  2160. 1:30:14basement. you maybe spent 10 years
  2161. 1:30:16figuring out how to integrate that
  2162. 1:30:18mainframe into every area of your
  2163. 1:30:20business. Right? So now we're going to
  2164. 1:30:23go to a company that has hundreds of
  2165. 1:30:24thousands of employees and has, you
  2166. 1:30:26know, dock workers and laborers at
  2167. 1:30:28manufacturing facilities doing a hundred
  2168. 1:30:30different things and warehouses and
  2169. 1:30:32every warehouse looks a little
  2170. 1:30:33different, different safety standards
  2171. 1:30:35depending on the country it's in. uh and
  2172. 1:30:39we're going to say, "Hey, we have a
  2173. 1:30:40generalized robot that theoretically
  2174. 1:30:43can do all that stuff." It's going to
  2175. 1:30:46take years and years and years to go
  2176. 1:30:49through the change transformation to
  2177. 1:30:51understand how to onboard these robots
  2178. 1:30:53just into a small number of their
  2179. 1:30:56facilities into all their facilities is
  2180. 1:30:59going to take even longer. And then once
  2181. 1:31:00you kind of like scale that problem AC
  2182. 1:31:03across not just one company's facilities
  2183. 1:31:06but across every company in the world
  2184. 1:31:08and the long tale of hundreds of
  2185. 1:31:10thousands if not millions of
  2186. 1:31:12independently owned warehouses and this
  2187. 1:31:14and that like there's just a learning
  2188. 1:31:16curve and a deployment curve that has to
  2189. 1:31:19take place because of that. this will
  2190. 1:31:21happen relatively slowly and when things
  2191. 1:31:24happen relatively slowly and it's
  2192. 1:31:26deployentoriented
  2193. 1:31:28meaning it's not a company that is just
  2194. 1:31:30like scaling with AI for example a lot
  2195. 1:31:35of companies are going to have a shot to
  2196. 1:31:36get in that game there's a lot of manual
  2197. 1:31:39processes there's a lot of teams that
  2198. 1:31:41need to be put out into the world to
  2199. 1:31:42work handinhand with all these companies
  2200. 1:31:44on the change transformation now I know
  2201. 1:31:46that everything I'm saying right now is
  2202. 1:31:47not sexy and that's the problem and this
  2203. 1:31:50is why no one else is talking about this
  2204. 1:31:52because it's like not a sexy thing to
  2205. 1:31:54talk about, but it's the truth.
  2206. 1:31:57And if you spend a thousand hours deeply
  2207. 1:32:00researching generalized robotics and the
  2208. 1:32:02deployment of generalized robotics into
  2209. 1:32:04the real world like I have, this is
  2210. 1:32:06something that you understand. Um, so my
  2211. 1:32:09expectations for humanoids and robots
  2212. 1:32:11are very different from other people's
  2213. 1:32:13expectations. However, I do think it's
  2214. 1:32:15the largest
  2215. 1:32:17TAM market on Earth and I think these
  2216. 1:32:21will be some of the largest companies
  2217. 1:32:22we've ever seen and I do think Tesla is
  2218. 1:32:26kind of in the pole position to be one
  2219. 1:32:28of those companies.
  2220. 1:32:31So, there's Appronic out of Austin. Yes,
  2221. 1:32:35Figure AI out of San Francisco. Uh we
  2222. 1:32:38technically have Boston Dynamics as
  2223. 1:32:40well, which is a subsidiary of Hyundai.
  2224. 1:32:42So it's not really an American company.
  2225. 1:32:44We just don't have a lot yet in the US.
  2226. 1:32:48So I think the companies that are in the
  2227. 1:32:50US that are doing good work are going to
  2228. 1:32:53have an inherent advantage because
  2229. 1:32:55building out those supply chains and
  2230. 1:32:57locking up those supply chains going
  2231. 1:33:00through change transformation with the
  2232. 1:33:01biggest companies on Earth. They want to
  2233. 1:33:03be able to trust that they're locking
  2234. 1:33:05into a company they're going to be
  2235. 1:33:06partnered with for 10 or 15 or 20 years
  2236. 1:33:08is a company that's going to be around
  2237. 1:33:10in 10 or 15 or 20 years. So, they're not
  2238. 1:33:12going to go work with another random
  2239. 1:33:14startup.
  2240. 1:33:15So, I think we're going to see some
  2241. 1:33:17really exciting things happen over the
  2242. 1:33:19next few years.
  2243. 1:33:21And yes, I think Tesla has an
  2244. 1:33:24opportunity to be one of the biggest
  2245. 1:33:26companies in the world that's doing
  2246. 1:33:27this, but they have to execute. Listen,
  2247. 1:33:29Elon has not executed as well as people
  2248. 1:33:36thought maybe he would on a handful of
  2249. 1:33:38things, right, the last few years. And I
  2250. 1:33:41think robotics is one of those things
  2251. 1:33:43where it's not his fault necessarily,
  2252. 1:33:45but I think his expectations for how
  2253. 1:33:48quickly we can,
  2254. 1:33:51you know, hit all the KPIs that you need
  2255. 1:33:54to hit from a robot was never realistic.
  2256. 1:33:57And so I think his expectations were off
  2257. 1:34:00for his team. His team has cycled
  2258. 1:34:02through a lot of leadership right at
  2259. 1:34:04Optimus.
  2260. 1:34:06And I want all the robot companies to
  2261. 1:34:09win. I actually think that robotics will
  2262. 1:34:13be maybe the number one
  2263. 1:34:18way to democratize quality of life
  2264. 1:34:22globally, especially across the third
  2265. 1:34:24world because it gives us the ability to
  2266. 1:34:26to lift the third world up. You know, in
  2267. 1:34:29health care, it gives us the ability not
  2268. 1:34:33just to help extend life, but
  2269. 1:34:35dramatically improve life for those that
  2270. 1:34:37can never afford to have a caregiver,
  2271. 1:34:40right? Imagine having a thing that could
  2272. 1:34:44do 99% of the stuff that you need done.
  2273. 1:34:46Whether it's bringing food in that's
  2274. 1:34:48being delivered, taking trash out, doing
  2275. 1:34:50dishes, making sure the house is clean,
  2276. 1:34:52helping you get to the bathroom, helping
  2277. 1:34:54you get up from bed, washing your
  2278. 1:34:56clothes, drying your clothes, getting
  2279. 1:34:59your clothes, helping you get your
  2280. 1:35:00clothes on. I mean, there's just an
  2281. 1:35:03maybe you can now have a pet because it
  2282. 1:35:05will help you take care of all the stuff
  2283. 1:35:06that goes with having a pet that's
  2284. 1:35:08difficult, which is super important. and
  2285. 1:35:11that increases quality of life. Right?
  2286. 1:35:13So this is obviously something I thought
  2287. 1:35:16deeply about and
  2288. 1:35:19it is massively beneficial to humanity
  2289. 1:35:21if we can figure out this problem. So
  2290. 1:35:24I'm not like a Tesla versus electronic
  2291. 1:35:26versus figure guy versus China guy. I'm
  2292. 1:35:29a I want everyone to win and I want this
  2293. 1:35:32to to like accelerate as quickly as
  2294. 1:35:36possible. and being an early investor um
  2295. 1:35:39in
  2296. 1:35:40>> in all the companies pretty much. Right.
  2297. 1:35:42So,
  2298. 1:35:42>> uh you have any idea on timing like when
  2299. 1:35:45will we have a humanoid robot in our
  2300. 1:35:47households?
  2301. 1:35:49>> I think at some point in 2027 we're
  2302. 1:35:53going to have a commercially scalable
  2303. 1:35:56humanoid.
  2304. 1:35:57>> Really? Next year. That doesn't mean
  2305. 1:35:59that they will commercially scale, but
  2306. 1:36:00we will have one that will be the
  2307. 1:36:02template for one that can start
  2308. 1:36:03commercially scaling in 2028. The value
  2309. 1:36:07of those robots is so high that
  2310. 1:36:11it would be wasteful to put them in
  2311. 1:36:13people's houses because there will be
  2312. 1:36:15companies that will pay 70 to 100,000 a
  2313. 1:36:20year to to le to rent that robot, right?
  2314. 1:36:23Uh and it's not even to have that robot
  2315. 1:36:25then because they want every company
  2316. 1:36:27wants to begin the journey of
  2317. 1:36:30generalized robotics because if they
  2318. 1:36:32fall too behind on that journey even if
  2319. 1:36:35it's four or six years away when the
  2320. 1:36:38scaling and the deployments actually
  2321. 1:36:40start to meaningfully impact their
  2322. 1:36:42business. If they don't start on day one
  2323. 1:36:46their competitor does they will be left
  2324. 1:36:49out. So, there's going to be massive
  2325. 1:36:52demand for these robots once they're
  2326. 1:36:54able to hit their KPIs.
  2327. 1:36:56And
  2328. 1:36:58I don't think any of the bleeding edge
  2329. 1:37:00companies, I don't believe, we'll see,
  2330. 1:37:03are going to allocate too many to home
  2331. 1:37:05use unless they're trying to
  2332. 1:37:09flex for some quick revenue or to like
  2333. 1:37:13for an IPO or something. Like there are
  2334. 1:37:16some strategic reasons why I could see
  2335. 1:37:18them doing it because you can take a ton
  2336. 1:37:19of pre-orders. You can like prove demand
  2337. 1:37:21whereas commercial deployment requires a
  2338. 1:37:24very slow growth even with one or two or
  2339. 1:37:27three companies.
  2340. 1:37:30I think we'll have the capabilities and
  2341. 1:37:32the and the supply to have humanoids in
  2342. 1:37:36the homes in like 6 to 10 years maybe
  2343. 1:37:40earlier. maybe 5 to 10 years is that
  2344. 1:37:43that's probably more realistic. I think
  2345. 1:37:45initially there'll be companies that
  2346. 1:37:47won't, you know, the humanoids maybe
  2347. 1:37:49won't be quite as good or as durable.
  2348. 1:37:52And by the way, I we might see them a
  2349. 1:37:54lot sooner. We might see them in two or
  2350. 1:37:55three years, but they'll be very
  2351. 1:37:56experimental. They're not going to be
  2352. 1:37:57like they're going to be like kind of
  2353. 1:38:00good enough, right? You know, kind of
  2354. 1:38:02good enough, but they're still learning.
  2355. 1:38:04And remember, we have an we have a whole
  2356. 1:38:05neural network foundation model on AI
  2357. 1:38:08that's the brain of the robot that's
  2358. 1:38:09still evolving. So like it's the
  2359. 1:38:11hardware that is like almost there,
  2360. 1:38:15but also on the software and on the
  2361. 1:38:18model side that's also almost there. So
  2362. 1:38:22neither is where they need to be and
  2363. 1:38:24they both need to be there together.
  2364. 1:38:26>> What do you think about Bitcoin?
  2365. 1:38:28>> I just have never cared about Bitcoin
  2366. 1:38:31other than the fact that other people
  2367. 1:38:33care about Bitcoin. So, as long as other
  2368. 1:38:36people care about Bitcoin and the
  2369. 1:38:39younger generation does, which they do a
  2370. 1:38:42little less now than they did the last
  2371. 1:38:44six years, but that's all that matters
  2372. 1:38:46to me because there's a hundred trillion
  2373. 1:38:48dollars of wealth transfer. The money
  2374. 1:38:51obviously transfers from old people to
  2375. 1:38:53young people, younger people, and
  2376. 1:38:55younger people are more into Bitcoin
  2377. 1:38:58than old people. So, we don't have to
  2378. 1:39:00overthink it. Whether they generally put
  2379. 1:39:021% of their portfolio in Bitcoin or five
  2380. 1:39:05doesn't really matter. There is an
  2381. 1:39:08insane tailwind for Bitcoin that is
  2382. 1:39:12almost unstoppable
  2383. 1:39:15unless
  2384. 1:39:16people lose their taste for Bitcoin
  2385. 1:39:20because of security concerns, right?
  2386. 1:39:23That that their Bitcoin is not capable
  2387. 1:39:26of being protected. So, it's not a
  2388. 1:39:28protectable safe asset. So they don't
  2389. 1:39:30want to really put money in it. As long
  2390. 1:39:33as that's not an issue, I think Bitcoin
  2391. 1:39:36has a really strong tailwind. So as an
  2392. 1:39:38investor, I see it as a direct
  2393. 1:39:40beneficiary of the wealth transfer that
  2394. 1:39:45is just starting to take place and will
  2395. 1:39:47continue to take place over the next 20
  2396. 1:39:49to 25 years. So that's my only that's
  2397. 1:39:53been that's always been my Bitcoin trade
  2398. 1:39:55and it continues to be my Bitcoin trade.
  2399. 1:39:57I don't think about
  2400. 1:39:58>> it's not about scarcity. It's not about
  2401. 1:40:00printing money.
  2402. 1:40:02>> All of that stuff is why other people
  2403. 1:40:04invest in it. I don't care why they
  2404. 1:40:06invest in it. All I care is that they
  2405. 1:40:09think there's a reason to invest in it.
  2406. 1:40:11>> So if enough people still
  2407. 1:40:14think about Bitcoin as an asset class.
  2408. 1:40:16>> That's right. I don't think there's any
  2409. 1:40:18reason to invest in gold for the last 40
  2410. 1:40:21years. But it doesn't matter what I
  2411. 1:40:23think. If people think that gold is a
  2412. 1:40:26safe haven in a, you know, crap hits the
  2413. 1:40:30fan scenario in life,
  2414. 1:40:33then they're going to invest some part
  2415. 1:40:35of their portfolio in gold. And as
  2416. 1:40:38people, as wealth as the wealth pie
  2417. 1:40:40increased, there was more money over
  2418. 1:40:42time put in gold and the price of gold
  2419. 1:40:45goes up. I don't see this being any
  2420. 1:40:47different with the exception of instead
  2421. 1:40:50of having the occasional person that
  2422. 1:40:52really cares about gold, nearly every
  2423. 1:40:54young investor cares about crypto and
  2424. 1:40:56Bitcoin. Not all of them, but most. So
  2425. 1:41:00to me, that is the only thing that
  2426. 1:41:03matters as an investor. I don't need to
  2427. 1:41:05believe in Bitcoin. I don't need to
  2428. 1:41:07believe in this use case or that use
  2429. 1:41:10case. I don't want to waste any of my
  2430. 1:41:12time even thinking about it. I'm not
  2431. 1:41:15adverse against investing in it because
  2432. 1:41:18other people care about that stuff and
  2433. 1:41:20they are only going to get more wealthy
  2434. 1:41:22over time. It it just is a proven fact
  2435. 1:41:25that young people get more wealthy over
  2436. 1:41:28the course of their life. They either
  2437. 1:41:30get it through their work or they get it
  2438. 1:41:32through inheritance. This is like not a
  2439. 1:41:34complicated thing to understand. And we
  2440. 1:41:37have a over a hundred trillion that
  2441. 1:41:38needs to be transferred to them.
  2442. 1:41:41>> Do you think wealth inequality is going
  2443. 1:41:42to continue?
  2444. 1:41:44Um,
  2445. 1:41:46I hope not because
  2446. 1:41:52you know I think the most important
  2447. 1:41:54thing that we could do
  2448. 1:41:56period, this is what all I care about
  2449. 1:41:59talking about is to get every person
  2450. 1:42:01investing. We need more people owning
  2451. 1:42:04>> assets.
  2452. 1:42:05>> Assets
  2453. 1:42:06and not just assets. We need more people
  2454. 1:42:09owning a share
  2455. 1:42:12of the growth economy.
  2456. 1:42:15What is that? It's called stocks. Okay.
  2457. 1:42:18Uh and if we could do that one thing,
  2458. 1:42:24all of our problems are solved when it
  2459. 1:42:26comes to the wealth gap. I do not think
  2460. 1:42:30we're going to be able to meaningfully
  2461. 1:42:32solve the income gap. I just think it's
  2462. 1:42:34too tough of a problem to solve. is too
  2463. 1:42:37fragmented. Uh, and I don't think we
  2464. 1:42:39need to solve it. I think we need to
  2465. 1:42:41focus on the wealth gap. I, you know,
  2466. 1:42:43whether someone loves or hates this
  2467. 1:42:46current administration,
  2468. 1:42:48they did, and and this is like both
  2469. 1:42:51parties here working together. So, it's
  2470. 1:42:53not everybody deserves credit for this.
  2471. 1:42:56Uh that program where every child gets a
  2472. 1:43:00brokerage account with $1,000 in it is
  2473. 1:43:03the most genius thing that's ever
  2474. 1:43:05happened in my lifetime. Like to like to
  2475. 1:43:07in terms of like solving the wealth gap
  2476. 1:43:10because now every single kid has an
  2477. 1:43:13account and now other people like just
  2478. 1:43:16give us a channel to help. That's the
  2479. 1:43:18thing. Like now that they created that
  2480. 1:43:19channel, you have these guys like Dell
  2481. 1:43:22out there like donating billions of
  2482. 1:43:25dollars into those accounts to double
  2483. 1:43:27and triple them, right? And all these
  2484. 1:43:29other philanthropists are out there
  2485. 1:43:31finding like, you know, lowincome zip
  2486. 1:43:33codes and just donating money into every
  2487. 1:43:36kid's account. These kids are going to
  2488. 1:43:39have meaningful money inside
  2489. 1:43:42of the growth economy from the day they
  2490. 1:43:46are born. I mean, if we were to go back
  2491. 1:43:49in time and scratch social security, I
  2492. 1:43:53think there's this thing that like
  2493. 1:43:55Reagan or someone had an idea for
  2494. 1:43:58allowing us to put 10% of our money
  2495. 1:44:01instead of social security, it was going
  2496. 1:44:02to go in the market.
  2497. 1:44:05I saw a stat once of what that would
  2498. 1:44:08have grown into today.
  2499. 1:44:11And let me just tell you like if that
  2500. 1:44:12would have been adopted universally,
  2501. 1:44:15we would not have that big of a wealth
  2502. 1:44:17gap today. Okay? We would not have that
  2503. 1:44:19big of a wealth gap today. And so
  2504. 1:44:22solving the problem isn't hard. We just
  2505. 1:44:24need to execute on it. Like we know how
  2506. 1:44:26to solve it. We already have the
  2507. 1:44:29solution to the wealth gap. There's only
  2508. 1:44:31one solution. The solution is to have
  2509. 1:44:35everybody invested in the growth
  2510. 1:44:36economy.
  2511. 1:44:38End stop. That's the solution. Now,
  2512. 1:44:41let's just do it. And and that one
  2513. 1:44:43program to give every kid a brokerage
  2514. 1:44:45account. Le let's fund them. Let's
  2515. 1:44:47educate them. Let's fund them. Let's get
  2516. 1:44:49kids excited about investing. Let's get
  2517. 1:44:52old people excited about investing. It's
  2518. 1:44:53never too late. Let's get everyone
  2519. 1:44:55excited about investing, whether they're
  2520. 1:44:57good or bad. which is get them to start
  2521. 1:44:59putting more of their money because they
  2522. 1:45:01have to believe that that's the
  2523. 1:45:03solution.
  2524. 1:45:05And by the way, once you do that, you
  2525. 1:45:08start to democratize
  2526. 1:45:11like opportunity in the market as well.
  2527. 1:45:15So it becomes much harder for people to
  2528. 1:45:20generate outsiz returns, right? If every
  2529. 1:45:23like if there's that much more money
  2530. 1:45:24flowing and that many more people that
  2531. 1:45:26are involved and engaged in the market,
  2532. 1:45:28we start to all get our fair share of
  2533. 1:45:30it.
  2534. 1:45:33So I don't really care if the top 1% or
  2535. 1:45:36onetenth of 1% does so exceptionally
  2536. 1:45:38well that they're still like way way way
  2537. 1:45:40ahead of us. All I care about is how do
  2538. 1:45:43we lift like the bottom 70% to get way
  2539. 1:45:46way higher.
  2540. 1:45:47>> Right. Yeah. And you're around some
  2541. 1:45:48extraordinary wealthy people. Are most
  2542. 1:45:51billionaires actually happy?
  2543. 1:45:53>> Uh, I would say no. Um, I think just
  2544. 1:45:57most people aren't happy. So,
  2545. 1:46:00billionaires included. So, like I would
  2546. 1:46:02just say most people as you age just
  2547. 1:46:06aren't happy.
  2548. 1:46:08>> Why is that?
  2549. 1:46:09>> This is something I probably think about
  2550. 1:46:11more than anything else. It's just
  2551. 1:46:13really hard
  2552. 1:46:15uh to kind of like ground yourself in
  2553. 1:46:18life to things that matter because life
  2554. 1:46:20is constantly trying to pull us to the
  2555. 1:46:22things that don't matter. And so I do
  2556. 1:46:27think there is an opportunity and I
  2557. 1:46:29don't want to say like the problem is
  2558. 1:46:31you said billionaire and billionaire
  2559. 1:46:34creates problems 100 millionaire creates
  2560. 1:46:37problems but if you would have asked me
  2561. 1:46:39if people that are doing well
  2562. 1:46:42financially
  2563. 1:46:44and that are financially independent are
  2564. 1:46:48more happy. I would say yes because once
  2565. 1:46:52you're financially independent, it opens
  2566. 1:46:55up headsp space to start to think about
  2567. 1:46:58things that actually matter that you
  2568. 1:47:00want to spend your time on. And that
  2569. 1:47:03first level of realizing, wow, I got to
  2570. 1:47:06get healthy. I want to spend time with
  2571. 1:47:08my kids, with my family. Um, I want to
  2572. 1:47:11connect with my friends more. Right?
  2573. 1:47:13Like these are things that happen to
  2574. 1:47:14you. But then when you become ultra
  2575. 1:47:17wealthy, what I've seen, and this is not
  2576. 1:47:20every case, there's some billionaires,
  2577. 1:47:22I'm sure, are super happy. You
  2578. 1:47:25It's hard to avoid, I think, the trap of
  2579. 1:47:29more stuff, more problems. It's hard to
  2580. 1:47:32stay say no to more stuff. It's just
  2581. 1:47:35very hard when you just have access to
  2582. 1:47:37infinite stuff. And when you have access
  2583. 1:47:39to infinite stuff, it does bring more
  2584. 1:47:43stress, more problems. When you are the
  2585. 1:47:47individual with infinite money, it
  2586. 1:47:49changes the incentives for those that
  2587. 1:47:52are around you to engage with you. So I
  2588. 1:47:54think your relationships change whether
  2589. 1:47:57you want them to change or not. Uh, I
  2590. 1:48:00think it gets really difficult to have
  2591. 1:48:03meaningful, authentic friendships and
  2592. 1:48:06relationships in life when people see
  2593. 1:48:09you as an opportunity,
  2594. 1:48:11even if they're doing that
  2595. 1:48:13subconsciously,
  2596. 1:48:15right? So, I think a lot of times it's
  2597. 1:48:18not like people wanting to necessarily
  2598. 1:48:19use you as much as it is
  2599. 1:48:25I get to go on a better vacation with
  2600. 1:48:27that person or we get to have better
  2601. 1:48:30dinners or whatever that thing is. It's
  2602. 1:48:33just sub it's just the way that the
  2603. 1:48:35world works. So by being ultra wealthy,
  2604. 1:48:41it just presents a set of problems that
  2605. 1:48:44you almost can't avoid. And I think
  2606. 1:48:47those things indirectly make your life
  2607. 1:48:50worse because it it it makes your
  2608. 1:48:56friendships, your connections less
  2609. 1:48:58authentic, less real. It everything is
  2610. 1:49:01worse at that point. So there's a sweet
  2611. 1:49:04spot and the sweet spot is financially
  2612. 1:49:08independent.
  2613. 1:49:10So like once you and that means
  2614. 1:49:12something different to every person but
  2615. 1:49:14I would say that once you reach a point
  2616. 1:49:16where you are financially independent
  2617. 1:49:19and you are financially comfortable in
  2618. 1:49:21perpetuity,
  2619. 1:49:23figure out a way to put the brakes on,
  2620. 1:49:25whatever that means. That could mean
  2621. 1:49:28making less money. It can mean starting
  2622. 1:49:30a charitable foundation and pushing all
  2623. 1:49:32your excess capital to noble causes,
  2624. 1:49:36right, that you no longer have access to
  2625. 1:49:38that money. [sighs and gasps]
  2626. 1:49:40It it could be pouring money into, you
  2627. 1:49:44know, maybe other things that you want
  2628. 1:49:46to do that are really exciting but take
  2629. 1:49:48a tremendous amount of capital but are
  2630. 1:49:51maybe super engaging and and allow you
  2631. 1:49:53to do things in life but like you you're
  2632. 1:49:55not just sitting on insane amounts of
  2633. 1:49:57ridiculous cash.
  2634. 1:49:59>> Is there something dumb that you've
  2635. 1:50:00splurged on that you shouldn't have?
  2636. 1:50:04Hm.
  2637. 1:50:07I
  2638. 1:50:09don't often splurge on things other than
  2639. 1:50:12like we do spend a lot of money on like
  2640. 1:50:16when we go on vacation. We like to stay
  2641. 1:50:18in nice places as a family, but I mean
  2642. 1:50:21that's pretty capped at like hard to
  2643. 1:50:23spend more than $3,000 a night even at
  2644. 1:50:25the nicest hotels in the world. Um, I'll
  2645. 1:50:28never forget that like I felt the the
  2646. 1:50:31most outlandish thing I've ever done in
  2647. 1:50:33my lifetime with money was on this
  2648. 1:50:35Biglio tile uh marble that we put in our
  2649. 1:50:38master shower at my house. And and I
  2650. 1:50:41became obsessed with trying to replicate
  2651. 1:50:43this one tile that we had seen and it
  2652. 1:50:46took us like a year to find something
  2653. 1:50:48close to it and it was the most
  2654. 1:50:49expensive marble I had ever come across.
  2655. 1:50:54But it had gold streaks in it and like I
  2656. 1:50:56didn't want to have like a Donald Trump
  2657. 1:50:58shower. So what we did is my contractor
  2658. 1:51:03had to buy [snorts]
  2659. 1:51:05triple the amount of tile
  2660. 1:51:06>> to not to find the pieces
  2661. 1:51:08>> and cut the pieces so that there would
  2662. 1:51:10be no go cuz like the blue marbling the
  2663. 1:51:13blue gray marbling of this biglio t it
  2664. 1:51:16was phenomenal but these nasty gold
  2665. 1:51:20streaks that were coming through it
  2666. 1:51:22again were like very 80s like I didn't
  2667. 1:51:24want any of it and so the I won't even
  2668. 1:51:27tell you what this [laughter] shower
  2669. 1:51:28cost And then of course I wanted the
  2670. 1:51:31tile to come outside the shower. So like
  2671. 1:51:34when you're getting in it and it was
  2672. 1:51:36like a whole big steam shower with
  2673. 1:51:38multiple heads. So I I we did it and I
  2674. 1:51:42was like this is the most ridiculous
  2675. 1:51:46thing that I will ever do in my life
  2676. 1:51:48when it comes to spending money is this
  2677. 1:51:50shower. I was like the shower cost it
  2678. 1:51:53was a big chunk of it wasn't a big chunk
  2679. 1:51:55of the house but it's like it was a lot.
  2680. 1:51:57It was obscene. It was an obscene amount
  2681. 1:51:59of money and I felt so guilty and I was
  2682. 1:52:01like but it was the type of thing that
  2683. 1:52:03like happened over the course of a year
  2684. 1:52:05was like a journey and then when you the
  2685. 1:52:08the price of it finally hit at the end
  2686. 1:52:10you were in way too deep to pull out but
  2687. 1:52:13I still carry some guilt for the money I
  2688. 1:52:15spent on that. I was like I could have
  2689. 1:52:17done something
  2690. 1:52:19noble with that money for someone that
  2691. 1:52:21needed it.
  2692. 1:52:23We all have our things, but but you
  2693. 1:52:24know, stuff like that just makes me want
  2694. 1:52:26to work harder because I'm like, if I'm
  2695. 1:52:27going to do that for myself, now I got
  2696. 1:52:29to do something way bigger for somebody
  2697. 1:52:30else. Yeah.
  2698. 1:52:31>> And for other people.
  2699. 1:52:32>> Yeah. And we're going to talk about what
  2700. 1:52:33you're what you're doing now. Um, let's
  2701. 1:52:35let's go real quick to the Amazon trade.
  2702. 1:52:37The Amazon trade,
  2703. 1:52:39>> you made a lot of money in the Amazon
  2704. 1:52:41trade. If I'm not mistaken, your account
  2705. 1:52:43in one day went up like roughly $10
  2706. 1:52:46million.
  2707. 1:52:46>> Yeah. A little Yeah. Over the course of
  2708. 1:52:48a couple days was like Yeah. Over 10
  2709. 1:52:50million.
  2710. 1:52:50>> Over $10 million. But I had I had lost
  2711. 1:52:53like not quite that much uh but you know
  2712. 1:52:55le a little less than that over the
  2713. 1:52:57course of a few weeks prior to that. And
  2714. 1:53:01so yeah, I was in a really bad place.
  2715. 1:53:03But this is a trade I've been working on
  2716. 1:53:05all year. And I had anticipated
  2717. 1:53:09the move to happen prior to earnings.
  2718. 1:53:12And so I lost a lot of money in options
  2719. 1:53:15that were expiring prior to earnings.
  2720. 1:53:17And I had one last shot for the trade to
  2721. 1:53:19work. and I was going to take it. It
  2722. 1:53:22would have been financially
  2723. 1:53:23irresponsible for me not to take the
  2724. 1:53:26shot uh with the amount of work I put
  2725. 1:53:29into it because I knew I would not get
  2726. 1:53:33a trade that was that high conviction
  2727. 1:53:35again for a very long time. So, my
  2728. 1:53:38account was beaten up, bleeding almost
  2729. 1:53:42almost down almost down 50%.
  2730. 1:53:45and over a few weeks and I took I took
  2731. 1:53:49another big chunk of money uh which was
  2732. 1:53:51like I say 20% but it's actually 20% of
  2733. 1:53:53the bigger account. It was actually like
  2734. 1:53:55another 20 so it was like almost was
  2735. 1:53:57like a third of what I had left in the
  2736. 1:53:59account on that one trade that was going
  2737. 1:54:02to expire basically in one day and if
  2738. 1:54:05Amazon didn't go up I would have lost
  2739. 1:54:08all that money.
  2740. 1:54:10So people look at that trade and they
  2741. 1:54:12think that's degenerate behavior, but
  2742. 1:54:14they don't understand that this is
  2743. 1:54:17inside of an account that is designed to
  2744. 1:54:22take risk on things that I've done a lot
  2745. 1:54:25of work on that I have high conviction
  2746. 1:54:26on because I want to generate high
  2747. 1:54:30returns on this account and that's what
  2748. 1:54:32it's designed for. So it was the right
  2749. 1:54:35trade for me. Okay? It's not necessarily
  2750. 1:54:38the right trade for someone else's
  2751. 1:54:40account, but it was the right trade for
  2752. 1:54:42me. And
  2753. 1:54:44you know, there was probably a 20%
  2754. 1:54:47chance that that trade would have gone
  2755. 1:54:49wrong due to things that were out of my
  2756. 1:54:52control. And I knew that. So I knew even
  2757. 1:54:55going into that trade, as high
  2758. 1:54:56conviction as I was on it, I knew that
  2759. 1:54:59there was a one in five chance that
  2760. 1:55:01something could happen to the market
  2761. 1:55:02that night, right? It could have been an
  2762. 1:55:04administrative thing at the White House.
  2763. 1:55:06It could have been something with Iran.
  2764. 1:55:08It could have been some other news
  2765. 1:55:10story. Um, Amazon could have had
  2766. 1:55:13something cooking that was a big
  2767. 1:55:16investment that investors would not have
  2768. 1:55:18loved if they would have announced it on
  2769. 1:55:19that earnings call. Something completely
  2770. 1:55:22like offraar to me and other investors.
  2771. 1:55:25I knew that was a possibility.
  2772. 1:55:28But take those possibilities off the
  2773. 1:55:30table. I was n over 99% sure of how that
  2774. 1:55:33earnings call was going to go. Both in
  2775. 1:55:35terms of them beating earnings, crushing
  2776. 1:55:37earnings, and how Jasse, the CEO, was
  2777. 1:55:40going to handle the call related to the
  2778. 1:55:43most sensitive issues of increased capex
  2779. 1:55:46spending, which is the only thing people
  2780. 1:55:47cared about, which we already knew how
  2781. 1:55:50to handle that from the Microsoft
  2782. 1:55:51earnings call a couple days earlier.
  2783. 1:55:54So, so it's like it was a calculated
  2784. 1:55:58choice of mine and it was the biggest
  2785. 1:56:01trading day of my life by far. By far. I
  2786. 1:56:04I I I think the biggest day before that
  2787. 1:56:06was a $5 million gain.
  2788. 1:56:08>> And on Amazon, you this was you were
  2789. 1:56:11using call options. This was up to prior
  2790. 1:56:13to the earnings call. And so what did
  2791. 1:56:16you observe? You observed that they were
  2792. 1:56:18going to beat earnings because of AWS.
  2793. 1:56:20What what was it? What was it that how
  2794. 1:56:22did you observe that? What was your
  2795. 1:56:23research? What was the catalyst?
  2796. 1:56:25>> It was a it was a matrix approach,
  2797. 1:56:27numerous different data sets and
  2798. 1:56:30qualitative
  2799. 1:56:32information that I was studying across
  2800. 1:56:35developers. uh looking at the pricing of
  2801. 1:56:39Amazon's
  2802. 1:56:41uh compute that they were selling in the
  2803. 1:56:43market, what the spot pricing was, like
  2804. 1:56:45just knowing what all their contracts
  2805. 1:56:46look like, like it it was like a big
  2806. 1:56:49puzzle where everything fit and nothing
  2807. 1:56:52didn't make sense
  2808. 1:56:53>> and the market hadn't priced in that
  2809. 1:56:55they were going to do have that
  2810. 1:56:57aggressive of a beat.
  2811. 1:56:58>> Correct. On our correct so the the
  2812. 1:57:00market knew they would have a beat. I
  2813. 1:57:03had high confidence that the beat was
  2814. 1:57:06going to be larger than even the whisper
  2815. 1:57:08number which was like 25%.
  2816. 1:57:11>> And for people that don't know the
  2817. 1:57:11whisper number, the whisper number is
  2818. 1:57:12what the whisper is on the street before
  2819. 1:57:15the earnings
  2820. 1:57:15>> call. Yeah, I I I had fairly good
  2821. 1:57:18confidence that they would beat that.
  2822. 1:57:20But that almost didn't even matter as
  2823. 1:57:21long as they hit that whisper number or
  2824. 1:57:23higher, which is seems so obvious that
  2825. 1:57:25they would. Uh it really came down to
  2826. 1:57:27the call. How is Jasse going to handle
  2827. 1:57:29the capex question? And he knew I mean
  2828. 1:57:33we knew I he already had the
  2829. 1:57:35information. He already saw how
  2830. 1:57:37Microsoft answered it. He saw how the
  2831. 1:57:39market respond to that. All he had to do
  2832. 1:57:41is give his version of that which he
  2833. 1:57:43did. And and and the version is
  2834. 1:57:45basically this. You guys are so worried
  2835. 1:57:47about this capex spend. But what you
  2836. 1:57:50don't realize is that we have control
  2837. 1:57:52over it. One, it's real because
  2838. 1:57:55the demand is there. But you guys are
  2839. 1:57:58all worried about the outlier situation
  2840. 1:58:00where the whole market blows up and we
  2841. 1:58:03just these con people default on their
  2842. 1:58:05contracts with us because their
  2843. 1:58:06companies are bleeding and all this
  2844. 1:58:07stuff, right? He's like a big chunk of
  2845. 1:58:11that capex is like equipment that we can
  2846. 1:58:14maneuver around and delay and not and
  2847. 1:58:17not take if that happens. So he's like
  2848. 1:58:20you're worrying over not he didn't say
  2849. 1:58:21it in these words but this is basically
  2850. 1:58:24the messaging and it's very similar to
  2851. 1:58:26the messaging that Microsoft gave and
  2852. 1:58:28the market was like that's cool. So
  2853. 1:58:30obviously Jasse was going to give his
  2854. 1:58:31version of it. He did market loved it.
  2855. 1:58:35They beat big. He handled the capex. I
  2856. 1:58:37mean again none of this is like brain
  2857. 1:58:39surgery. None of this is like like super
  2858. 1:58:44difficult to kind of figure out,
  2859. 1:58:47but the market is so distracted and
  2860. 1:58:51they're so such a herd mentality.
  2861. 1:58:52They're so surface layer. They're so
  2862. 1:58:55looking at so many different things at
  2863. 1:58:57every second of the day. Uh and also we
  2864. 1:59:01just come off like a really meaningful
  2865. 1:59:02big sell-off that was manipulated uh
  2866. 1:59:05through a market liquidation of Leopold,
  2867. 1:59:07right? which obviously is the the kid
  2868. 1:59:09that turned, you know, few hundred
  2869. 1:59:11million to 40 some odd billion and then
  2870. 1:59:13lost it all, right? Or most of it that
  2871. 1:59:15was publicly traded due to being
  2872. 1:59:18overlevered and then the market, you
  2873. 1:59:21know, started to fall apart and they
  2874. 1:59:24they they they liquidated him and uh
  2875. 1:59:28that was artificial. So like I knew that
  2876. 1:59:30that liquidation was pretty much over as
  2877. 1:59:32well. So like we had a lot of catalysts
  2878. 1:59:34coming into play,
  2879. 1:59:35>> right? But the difference is I don't
  2880. 1:59:37think most people would have the balls
  2881. 1:59:41to continue to put on those trades after
  2882. 1:59:45losing what millions of dollars in the
  2883. 1:59:47weeks prior.
  2884. 1:59:48>> Most people wouldn't because most people
  2885. 1:59:51aren't going to put in the work that I
  2886. 1:59:52put in. You only gain conviction from
  2887. 1:59:55the work you put in. 999
  2888. 1:59:59out of a thousand investors right now
  2889. 2:00:03are too lazy to do any of their own
  2890. 2:00:05work. All they want to do is read what
  2891. 2:00:07someone else puts on X or in an article.
  2892. 2:00:10That's all they're willing to do. And
  2893. 2:00:13then they're so freaked out when someone
  2894. 2:00:15like me takes that big of a chance on a
  2895. 2:00:18trade because they've never done any
  2896. 2:00:21real work in their life when it comes to
  2897. 2:00:22a trade. And when I say real work, I
  2898. 2:00:24mean dozens and dozens of hours, if not
  2899. 2:00:27a 100 plus hours on a trade. So they
  2900. 2:00:30don't understand
  2901. 2:00:34what conviction actually means. It's
  2902. 2:00:36just a word to them. It's not a word to
  2903. 2:00:39me.
  2904. 2:00:40It's work that gets me there. So
  2905. 2:00:46I'm proud of that trade. I'm proud to
  2906. 2:00:49talk about it. I don't care if people
  2907. 2:00:52think it's degenerate behavior. They're
  2908. 2:00:55wrong. They don't understand the risk
  2909. 2:00:57profile of the account that I made the
  2910. 2:01:00trade in. They don't understand my trade
  2911. 2:01:02strategy. I mean, I walked on the iced
  2912. 2:01:05coffee or I walked through the ex total
  2913. 2:01:07trade strategy
  2914. 2:01:09and it was comprehensive.
  2915. 2:01:14So, this is what I do. This is my job.
  2916. 2:01:19Okay? like this is not a fun game for
  2917. 2:01:21me. All right. So, like this is my job.
  2918. 2:01:24So, I did get into like a lot of,
  2919. 2:01:29you know, interactions with people,
  2920. 2:01:31we'll just say, over the past few weeks
  2921. 2:01:32about this trade that were negative and
  2922. 2:01:35it just comes from them not knowing. And
  2923. 2:01:38that's okay. I get it.
  2924. 2:01:40>> How did it feel like when you saw the
  2925. 2:01:43numbers go up on the screen, 10 million?
  2926. 2:01:45I was driving to Austin and um I wasn't
  2927. 2:01:50>> checking your phone like looking at the
  2928. 2:01:51price.
  2929. 2:01:52>> I was so nervous when I made the trade.
  2930. 2:01:54That's when my stomach dropped and I was
  2931. 2:01:56like I almost threw up. I was like cuz
  2932. 2:01:59it's like dude I was like your account's
  2933. 2:02:00getting crushed. You've done the work.
  2934. 2:02:02You know you got to do the thing. You
  2935. 2:02:04know you have to do the thing. Okay. But
  2936. 2:02:08actually hitting the button and doing
  2937. 2:02:09the thing is like oh like I can't
  2938. 2:02:12believe I just did this. like you have
  2939. 2:02:14to do it. Um
  2940. 2:02:17it would have made me sick not to do it.
  2941. 2:02:19In fact, I've said this like I like I I
  2942. 2:02:22should have done it bigger.
  2943. 2:02:23>> Yeah. You said I should have done it 30
  2944. 2:02:25or 40 million.
  2945. 2:02:26>> It should have been a $30 million plus
  2946. 2:02:27day. I should have done it bigger, but
  2947. 2:02:30at a certain point it's just there's
  2948. 2:02:32it's very unnerving even for someone
  2949. 2:02:34like me that's been doing this my entire
  2950. 2:02:35life. You your portfolio size is this
  2951. 2:02:38big, you know, like you know you know
  2952. 2:02:41that it's a probability, right? So
  2953. 2:02:43you're you're you're trading a pro. In
  2954. 2:02:45my case, the probability was 8020. In my
  2955. 2:02:47head, with my math, with my research, it
  2956. 2:02:50was 8020. Now, that could be flawed or
  2957. 2:02:53not, but that's what I believed it to
  2958. 2:02:54be. There's still a 20 in there. 20 is
  2959. 2:02:57one in five. Okay. So,
  2960. 2:03:02you know, how much money are you willing
  2961. 2:03:04to bet knowing that there's a one in
  2962. 2:03:06five chance it's gone? Now, I knew that
  2963. 2:03:10there was a four in five chance
  2964. 2:03:13not just of it doubling, but doing
  2965. 2:03:15something probably meaningfully better
  2966. 2:03:16than doubling. So, if you know those
  2967. 2:03:19odds, you got to take that bet. And you
  2968. 2:03:23you you regret you're always going to
  2969. 2:03:25regret not taking the bet bigger because
  2970. 2:03:26you knew the odds. All right? So, like I
  2971. 2:03:29knew the odds. It should have been a
  2972. 2:03:30bigger bet, but I just I put on the bet
  2973. 2:03:32that I did. But when when it happened, I
  2974. 2:03:35was driving and I was like I was pretty
  2975. 2:03:37calm and I saw it and I was like, "All
  2976. 2:03:40right." You know, it it felt great
  2977. 2:03:43because I I came off the big loss. I
  2978. 2:03:45wanted to like I wanted my money back
  2979. 2:03:48from that lo and then I got it back and
  2980. 2:03:50plus plus.
  2981. 2:03:51>> Were you like screaming with joy? Was it
  2982. 2:03:53just like, "Okay, you look at your
  2983. 2:03:54phone. All right."
  2984. 2:03:55>> It was a good night. It was It was a
  2985. 2:03:56good night.
  2986. 2:03:56>> Was there a party? Was there a
  2987. 2:03:58celebration?
  2988. 2:03:59>> There was no
  2989. 2:03:59>> Did you pop some champagne?
  2990. 2:04:01>> No. So So I went
  2991. 2:04:02>> 10 million in a day. I I so it was fun
  2992. 2:04:04because I got to go out with my buddy
  2993. 2:04:07Matthew Vauovich in Austin and um I
  2994. 2:04:12texted him on the way down and I said,
  2995. 2:04:14"Hey dude, I was like, "I want to get
  2996. 2:04:16margs on this patio in Austin. I just
  2997. 2:04:20seen a TikTok. This girl telling me how
  2998. 2:04:22good these margaritas were." I was like,
  2999. 2:04:23"I hadn't had a margarita all summer on
  3000. 2:04:24a patio." I was like I was like I didn't
  3001. 2:04:27tell him what was going on, but I was
  3002. 2:04:28like, "You're getting a drink with me on
  3003. 2:04:29a patio." We got there. I sat. We once
  3004. 2:04:32we got the margarita, I'm like, "Dude, I
  3005. 2:04:35got to tell you what just happened." And
  3006. 2:04:37and we we did have a night. We did have
  3007. 2:04:39a night. It was a fun night. But like
  3008. 2:04:42that next morning, I'm at this I was
  3009. 2:04:44still on a high. The next morning I'm at
  3010. 2:04:46a coffee shop and Amit calls me, you
  3011. 2:04:48know, from X. Uh and and I'm like, he's
  3012. 2:04:52like, "What happened?" I was like,
  3013. 2:04:52"Dude, I can't believe it happened."
  3014. 2:04:54He's like, "You're on the live stream."
  3015. 2:04:56Like, "Dude, I'm on." And so we talked
  3016. 2:04:57for like 30 and this is where hit
  3017. 2:04:59the fan, right? This this is where it
  3018. 2:05:00went cuz like this is where I'm like I'm
  3019. 2:05:03on the phone with my buddy on it. Okay.
  3020. 2:05:05So like I'm not like yes it's a live
  3021. 2:05:08stream. I know I'm on his live stream
  3022. 2:05:10but I'm not like worried about saying
  3023. 2:05:12the wrong thing. Someone's going to like
  3024. 2:05:14misinterpret it. I'm just on the phone
  3025. 2:05:16with my buddy telling him about he knows
  3026. 2:05:18how what I do. He knows the time I put
  3027. 2:05:20into my trades, my risk management, all
  3028. 2:05:22this stuff. So like I'm talking very
  3029. 2:05:25casually. I'm having fun, man. I'm at a
  3030. 2:05:28coffee shop. I'm walking around. I 1.2
  3031. 2:05:31Two million people watched that live
  3032. 2:05:33stream and it started this avalanche of
  3033. 2:05:36dude that guy's so irresponsible like
  3034. 2:05:39like what was he doing? He's a
  3035. 2:05:40degenerate and like they don't know me
  3036. 2:05:42cuz at one point that's a lot of people
  3037. 2:05:44a lot of them are hearing me for the
  3038. 2:05:45first time.
  3039. 2:05:47But it was a it was a fun day. I still
  3040. 2:05:50feel good. I still feel good. I still
  3041. 2:05:52feel really good about it. Right. And uh
  3042. 2:05:55I'll tell you man like being an investor
  3043. 2:05:58is a roller coaster. like it. And it's
  3044. 2:06:01I I'm I love the good times, man. I I I
  3045. 2:06:04I love the win. Not it's not for the
  3046. 2:06:06money for me. Like I said, I'm at a
  3047. 2:06:08point where it's not it's never about
  3048. 2:06:10the money cuz my money is oriented
  3049. 2:06:13towards other stuff that that really
  3050. 2:06:16doesn't benefit me. Okay? So, like when
  3051. 2:06:18I do something, I'm happy for the things
  3052. 2:06:20I'll be able to do in the world
  3053. 2:06:22hopefully. But it's about get in the
  3054. 2:06:25win, dude. This is a gota for me. This
  3055. 2:06:28is a game. Like, it's a g it's a game I
  3056. 2:06:30take seriously. It's my job and I want
  3057. 2:06:34to make money to do good things with
  3058. 2:06:35that money for the world, but it's a
  3059. 2:06:38game of chess and like I like it when I
  3060. 2:06:42put the work in and I get it right. Um,
  3061. 2:06:46and even when you get it right,
  3062. 2:06:47sometimes you lose the money because
  3063. 2:06:49there's things out of your control like
  3064. 2:06:50we're saying.
  3065. 2:06:52But I do like it. It's fun for me, man.
  3066. 2:06:56If you can't have fun, dude, like, dude,
  3067. 2:06:59if I can't have fun at this, I've been
  3068. 2:07:01grinding since I was 12 years old. I've
  3069. 2:07:03been working four jobs since all through
  3070. 2:07:05high school, college. Like, I was never
  3071. 2:07:07not working. Multiple jobs. Like, my
  3072. 2:07:11whole life has been grinding, grinding,
  3073. 2:07:14grinding to make it, starting companies,
  3074. 2:07:16failure, failure, success, failure.
  3075. 2:07:19Like, I'm tired. Like, at this point, I
  3076. 2:07:22want to have more fun with my investing.
  3077. 2:07:25And that's why I do podcasts. I like
  3078. 2:07:27talking about it. I like seeing the
  3079. 2:07:28younger investors getting involved. Like
  3080. 2:07:31I want to share with them that the
  3081. 2:07:33success when I have it. Like and it's
  3082. 2:07:35fun being part of a like I said I was
  3083. 2:07:36never part of an investment community.
  3084. 2:07:38Now I'm part of it. You know how cool it
  3085. 2:07:40is that we have like something like 40
  3086. 2:07:42million new retail traders in the US and
  3087. 2:07:45like half of them are on X. I hate that
  3088. 2:07:48they're just talking about the same 10
  3089. 2:07:50stocks all the time. I hate that they're
  3090. 2:07:52doing all the dumb stuff they do, but I
  3091. 2:07:54know they're young and they've got to go
  3092. 2:07:55through their phases. I just love that
  3093. 2:07:58we have this now because like so many
  3094. 2:08:01other,
  3095. 2:08:02you know, hobbies or whatever you want
  3096. 2:08:04to call them, they have their people. I
  3097. 2:08:08sometimes feel like being an investor
  3098. 2:08:11and being on X is like being in a movie.
  3099. 2:08:14It's just like it's a culture. It's like
  3100. 2:08:16it's not just a community. It's like a
  3101. 2:08:18whole subculture of people and they're
  3102. 2:08:21crazy, man. Like, like these
  3103. 2:08:23people, they don't even have a life
  3104. 2:08:24outside of investing. Like I feel
  3105. 2:08:26because now you can invest 24/7. Add
  3106. 2:08:28crypto to that, dude.
  3107. 2:08:31It's It's actually insane. I'm glad that
  3108. 2:08:33that's not the way it was when I was in
  3109. 2:08:35the weeds of investing cuz like I
  3110. 2:08:37actually think it's unhealthy. Like I'm
  3111. 2:08:40I'm actually nervous for a lot of these
  3112. 2:08:41young investors that they are not that
  3113. 2:08:45they're developing bad behavior that
  3114. 2:08:47they're not like living real life for
  3115. 2:08:51themselves because they're so
  3116. 2:08:52obsessively trading 24 hours a day. I'm
  3117. 2:08:55really concerned that if they have
  3118. 2:08:57families, they're like their mind is not
  3119. 2:09:00where their kids are because they feel
  3120. 2:09:02like they have to be in tune with
  3121. 2:09:04investing at all times. I hate that. I
  3122. 2:09:07think the market should be open half the
  3123. 2:09:11time it's open today. I think the market
  3124. 2:09:13should be open like four hours. We can
  3125. 2:09:15get everything done in four hours.
  3126. 2:09:17There's no reason for the market to be
  3127. 2:09:19open from like 9:30 Eastern to 4. That's
  3128. 2:09:23crazy. Most of the action and liquidity
  3129. 2:09:27happen on market open and market close,
  3130. 2:09:30right?
  3131. 2:09:32Let's just condense that. We don't need
  3132. 2:09:34more than four hours.
  3133. 2:09:36We need people doing more research on
  3134. 2:09:40the companies that they want to invest
  3135. 2:09:42in as opposed to watching a screen of
  3136. 2:09:46random people trading all day and just
  3137. 2:09:50trying to pretend that they could game
  3138. 2:09:51that and get in front of it. That's
  3139. 2:09:54unhealthy. That that I don't like. And
  3140. 2:09:56now we're going to make trading 24 hours
  3141. 2:09:58a day. It kind of already is. I would
  3142. 2:10:01rather have us
  3143. 2:10:04make our moves three or four hours
  3144. 2:10:07during the day and then spend the rest
  3145. 2:10:09of your time actually doing the real
  3146. 2:10:12hard work of figuring out where the
  3147. 2:10:14alpha is. Figuring out who is going to
  3148. 2:10:17benefit, who's going to be harmed from
  3149. 2:10:19the world changing in whatever way it's
  3150. 2:10:21changing, whether it's technology or
  3151. 2:10:25culture, behavior, whatever, right? like
  3152. 2:10:27that's that's that's how we should be
  3153. 2:10:30thinking as investors. Instead, it's the
  3154. 2:10:32opposite. But by the way, because it's
  3155. 2:10:34that way, there's opportunity
  3156. 2:10:38for people that don't get caught up in
  3157. 2:10:40that herd behavior and all the noise.
  3158. 2:10:43That's why I'm able to still do this.
  3159. 2:10:45Yeah, there's more investors than there
  3160. 2:10:46ever have been, but they're all doing
  3161. 2:10:48stupid crap, okay? Like all the time. So
  3162. 2:10:51it's like yeah my competition has like
  3163. 2:10:54increased by like 100x but most of that
  3164. 2:10:58is just herd mentality and which by the
  3165. 2:11:01way feeds on itself feeds on itself.
  3166. 2:11:06Okay, I want to get to the envelope here
  3167. 2:11:08and your stock pick, but before we do, a
  3168. 2:11:09couple last things. With AI coming into
  3169. 2:11:11the mix, is that going to kill the edge
  3170. 2:11:14that you have? Meaning, are there going
  3171. 2:11:16to be swarms of AI agents that are doing
  3172. 2:11:19this type of observational research and
  3173. 2:11:24smarter than all humans or all humans
  3174. 2:11:26combined, and there's going to be a lot
  3175. 2:11:27less edge for you. Are you worried about
  3176. 2:11:29that?
  3177. 2:11:30>> I'm not worried about it, but I think
  3178. 2:11:33it's an inevitability.
  3179. 2:11:35I just don't know the timeline.
  3180. 2:11:39The timeline for that could be a few
  3181. 2:11:43years or a lot of years. Like it could
  3182. 2:11:46be 10, 15 years out. So
  3183. 2:11:51I do know we at least have two or three
  3184. 2:11:54or four years or five left that we don't
  3185. 2:11:56need to be concerned about it. That's
  3186. 2:11:58what my gut tells me. So when it
  3187. 2:12:01happens, it happens. I won't I won't be
  3188. 2:12:04impacted by that point. I'll be down to
  3189. 2:12:07doing 15 minutes of I mean at some point
  3190. 2:12:10I got to stop spending half my life
  3191. 2:12:13reading Tik Tok comments, right? To find
  3192. 2:12:15edge in the market. I'm not right. I'm
  3193. 2:12:18I'm getting too old for this. So, but
  3194. 2:12:21yeah, I I do think I do think as an
  3195. 2:12:23investor, it's really important to get
  3196. 2:12:26serious now, the next five years,
  3197. 2:12:29because I don't know how long the window
  3198. 2:12:33is going to stay open for,
  3199. 2:12:36>> right? Yeah. Because and and you're
  3200. 2:12:38already using AI to help inform some of
  3201. 2:12:40your process.
  3202. 2:12:41>> Oh, yeah. Absolutely. I
  3203. 2:12:43>> Okay, someone finishes this episode,
  3204. 2:12:45they have $1,000, right? They're like,
  3205. 2:12:47"Hey, I want to I want to be like Chris,
  3206. 2:12:50right?" What's the first thing they
  3207. 2:12:52should do tomorrow morning? Start
  3208. 2:12:53observing.
  3209. 2:12:55>> Yes. So, I'm not an investment advisor,
  3210. 2:12:56but what I do tell people is that you're
  3211. 2:12:59not in this alone. There are people like
  3212. 2:13:01myself that have been doing this a long
  3213. 2:13:03time. So, you do not have to learn every
  3214. 2:13:06lesson yourself the hard way. You're
  3215. 2:13:09going to learn some the hard way,
  3216. 2:13:11meaning you're going to lose money, but
  3217. 2:13:14find out who the real people are in this
  3218. 2:13:17space.
  3219. 2:13:18Follow them, right? And listen to them.
  3220. 2:13:22I've done thousands and thousands of
  3221. 2:13:24hours of content over the past seven
  3222. 2:13:27years. And
  3223. 2:13:30I mean honestly like if you even watch a
  3224. 2:13:32small fraction of it,
  3225. 2:13:36you probably accelerated your journey by
  3226. 2:13:38a decade. Uh and then there are other
  3227. 2:13:41people that have different thoughts and
  3228. 2:13:43maybe some different strategies.
  3229. 2:13:46Find out who the real people are.
  3230. 2:13:50Listen to them and
  3231. 2:13:53start on your journey right away. Like
  3232. 2:13:54just start. Just start. Don't do
  3233. 2:13:56anything stupid, but start. You need to
  3234. 2:13:59understand the consequences of your
  3235. 2:14:01action. You need to understand
  3236. 2:14:04when you actually have high conviction
  3237. 2:14:06and when you don't because your mind is
  3238. 2:14:08going to play tricks on you as an
  3239. 2:14:10investor and you're going to want to
  3240. 2:14:12believe in something. That's the biggest
  3241. 2:14:16pitfall that I see young investors
  3242. 2:14:17falling into
  3243. 2:14:19is they just want to believe. They
  3244. 2:14:22become obsessive
  3245. 2:14:25about their trade thesis or their stock
  3246. 2:14:29and they just don't want to admit to
  3247. 2:14:31themselves that they were wrong even
  3248. 2:14:33when new information surfaces that
  3249. 2:14:36clearly
  3250. 2:14:38shows them that they were wrong.
  3251. 2:14:39>> Should they start with just investing in
  3252. 2:14:41S&P 500 ETF?
  3253. 2:14:44I you know like I said I I I don't give
  3254. 2:14:45investment advice but what I would say
  3255. 2:14:47is you're generally best off having
  3256. 2:14:52money in the market no matter what that
  3257. 2:14:56means. And so
  3258. 2:14:58I think a fairly conventional
  3259. 2:15:02uh uh method is if you don't know what
  3260. 2:15:06to invest in, just be invested in the
  3261. 2:15:09market, right? And then once you figure
  3262. 2:15:11out what to invest in, you can take some
  3263. 2:15:14money out of that and put it into
  3264. 2:15:15something more concentrated. And
  3265. 2:15:18obviously these low fee ETFs are
  3266. 2:15:20wonderful because they're low fee,
  3267. 2:15:22right? And just by being in the market,
  3268. 2:15:25you're going to win over the long term.
  3269. 2:15:29But I would say
  3270. 2:15:31try to develop it as a hobby. Have fun
  3271. 2:15:33with it. Spend some time not watching
  3272. 2:15:38people that are basically copying and
  3273. 2:15:42pasting the viral thing that they read
  3274. 2:15:4515 minutes ago on X.
  3275. 2:15:49Um, but try to find people that are
  3276. 2:15:52independent thinkers that seem to be
  3277. 2:15:54doing real work. And it's not hard to
  3278. 2:15:57tell. Like when they tweet, when they
  3279. 2:15:59put out reports, you're like, "Wow, this
  3280. 2:16:01is like they're really indeed. Those are
  3281. 2:16:04the people that you want to follow
  3282. 2:16:06because
  3283. 2:16:08they're the anomaly."
  3284. 2:16:10I'm one of them, okay? But there are
  3285. 2:16:12many others. And I even get great ideas
  3286. 2:16:17from some of these other people because
  3287. 2:16:20they're doing the hard work. Like there
  3288. 2:16:21are some of them that are doing such
  3289. 2:16:23hard work on the AI trade. They're going
  3290. 2:16:28to China. They're visiting factories.
  3291. 2:16:30Like they're talking to investors, you
  3292. 2:16:33know, in China in Korea. They're
  3293. 2:16:34checking supply chain.
  3294. 2:16:37That's who you want to listen to.
  3295. 2:16:39uh you want if like if you're trading
  3296. 2:16:42the big AI stocks and you're trying to
  3297. 2:16:44figure out are we in a bubble is this
  3298. 2:16:47real is this going to like implode any
  3299. 2:16:49minute or is there actual real durable
  3300. 2:16:53demand
  3301. 2:16:54for this compute because at the end
  3302. 2:16:57client meaning the actual companies that
  3303. 2:17:00are using AI to change their businesses
  3304. 2:17:03they are seeing real value so that's the
  3305. 2:17:06question you have to ask how are you
  3306. 2:17:08going to answer that question. Who has
  3307. 2:17:10the answer? The guy that has the answer
  3308. 2:17:12or the woman that has the answer is
  3309. 2:17:15probably the person who's working at
  3310. 2:17:16that company. And there's tens of
  3311. 2:17:20thousands of people that work at that
  3312. 2:17:21company. You could probably find a few
  3313. 2:17:23of them that like to share their ideas
  3314. 2:17:26on X or maybe even on YouTube. So find
  3315. 2:17:30them. And there's like dozens and dozens
  3316. 2:17:32of those companies, right? There's
  3317. 2:17:34hundred thousands of them, right? So go
  3318. 2:17:37to the source of the people that
  3319. 2:17:39actually have the information that can
  3320. 2:17:42tell you what you need to know to gain
  3321. 2:17:45confidence in putting your money behind
  3322. 2:17:48a thesis. In this case, artificial
  3323. 2:17:51intelligence being real
  3324. 2:17:54demand for this going to increase year
  3325. 2:17:57over year over year. And then you know
  3326. 2:18:00the degree to which compute is going to
  3327. 2:18:03remain scarce or not. That's a whole
  3328. 2:18:05another question, right? You have to
  3329. 2:18:07figure out is a Chinese open model going
  3330. 2:18:10to eliminate the need for compute or
  3331. 2:18:13not. I'm at the conclusion that it
  3332. 2:18:16won't. But you have to like read a lot
  3333. 2:18:19of really smart people talking about
  3334. 2:18:21that issue until you can come up with
  3335. 2:18:24your own decision if compute will remain
  3336. 2:18:27scarce or not going forward. But if you
  3337. 2:18:30believe compute will remain scarce and
  3338. 2:18:32the demand for compute is going to
  3339. 2:18:34continue to grow, then the AI trade
  3340. 2:18:37becomes really interesting to you and
  3341. 2:18:40you get a lot more conviction to take
  3342. 2:18:42your money out of the broad market and
  3343. 2:18:47put it into companies or a sector that
  3344. 2:18:50is likely to grow quicker than the broad
  3345. 2:18:52market, right? That for the last few
  3346. 2:18:54years has accounted for all the growth
  3347. 2:18:56broad market. But then remember there's
  3348. 2:18:58other trades as well like the the AI
  3349. 2:19:00efficiency wave that I talked about
  3350. 2:19:02where if that's correct the broad market
  3351. 2:19:04will benefit from it. But why invest in
  3352. 2:19:07the broad market if you already know
  3353. 2:19:08that the companies that will benefit
  3354. 2:19:10most are the ones with the biggest
  3355. 2:19:11distribution modes. Right? So let's find
  3356. 2:19:13the ones with the biggest distribution
  3357. 2:19:14modes and invest maybe just in them.
  3358. 2:19:18That's what I'm doing with Amazon
  3359. 2:19:19because I think Amazon has the biggest
  3360. 2:19:20distribution mode. Do
  3361. 2:19:21>> you have 70% of your portfolio in Amazon
  3362. 2:19:23right now?
  3363. 2:19:23>> Not anymore because I took off a lot of
  3364. 2:19:25that leverage. Right. So, I'm still
  3365. 2:19:28heavily invested in Amazon and I have
  3366. 2:19:31some leverage. It it it it fluctuates.
  3367. 2:19:36Um,
  3368. 2:19:37but it's still like one of my favorite
  3369. 2:19:40positions. I'm still heavily invested in
  3370. 2:19:43Bloom Energy, which I believe is the
  3371. 2:19:45quickest way to provide energy to the
  3372. 2:19:48data centers that are in uh a supply
  3373. 2:19:52glut of energy, right? Especially now
  3374. 2:19:54that everyone says bring your own
  3375. 2:19:55energy. we can let you tap into the
  3376. 2:19:57grid. Uh it's a misunderstood company.
  3377. 2:20:00It's volatile, but it's still a big
  3378. 2:20:02holding of mine as well. Um I'm still a
  3379. 2:20:05big believer in Robin Hood. I think that
  3380. 2:20:08it's the best managed financial
  3381. 2:20:10institution in the world and I think
  3382. 2:20:13that Robin Hood will has a good shot at
  3383. 2:20:16becoming the largest financial
  3384. 2:20:17institution in the world in the next 20
  3385. 2:20:18years.
  3386. 2:20:20And it's not a company I even think
  3387. 2:20:22about every day. It's just one that I
  3388. 2:20:25know is misunderstood.
  3389. 2:20:27So, but everyone has to come up with
  3390. 2:20:29their own conviction because if you
  3391. 2:20:33don't, when things go wrong, and they
  3392. 2:20:36always do for short periods of time,
  3393. 2:20:38whether it's Amazon, Bloom Energy, Robin
  3394. 2:20:40Hood, the three I just talked about,
  3395. 2:20:42there will be a moment in time when
  3396. 2:20:44things go terribly wrong, whether
  3397. 2:20:46they're actually going wrong or whether
  3398. 2:20:48the market thinks they're going wrong,
  3399. 2:20:50when these stocks are going to get hit.
  3400. 2:20:52you're going to freak out and be like,
  3401. 2:20:54"I was wrong. I must have been wrong
  3402. 2:20:56because now the stocks are getting hit."
  3403. 2:20:57And then you sell your position and
  3404. 2:20:59then, you know, days to a few weeks
  3405. 2:21:01later, they pop back up. You're like,
  3406. 2:21:02"Oh no, I sold when it was down. Now I
  3407. 2:21:05got to buy back." And that's how you
  3408. 2:21:07lose a lot of money in the market
  3409. 2:21:09because you never did the work to begin
  3410. 2:21:11with. You were just following some guy
  3411. 2:21:12like me and then when it didn't go well,
  3412. 2:21:17you didn't even know what you were
  3413. 2:21:18invested or why you were invested in it.
  3414. 2:21:20So, you didn't know whether to to hold
  3415. 2:21:22or sell, and you made a bad decision.
  3416. 2:21:24You probably make a lot of bad decisions
  3417. 2:21:25when you don't have conviction.
  3418. 2:21:27>> Yeah. All right. Last question before
  3419. 2:21:28you open that envelope, which is
  3420. 2:21:31>> tell me a little bit about your
  3421. 2:21:32foundation. Tell me a little bit about
  3422. 2:21:34the what you're building with the
  3423. 2:21:36podcast, with the studio, because I want
  3424. 2:21:38to know about a little bit more about
  3425. 2:21:39your motivation, what you're kind of
  3426. 2:21:40what you have planned for in the future.
  3427. 2:21:42>> You know, on the foundation,
  3428. 2:21:45I I don't overthink it. Like I said, I
  3429. 2:21:47think it's it's something I've been
  3430. 2:21:48thinking about. I've been wanting to do
  3431. 2:21:49my entire life and I'm finally in a
  3432. 2:21:51position to do it is to like start doing
  3433. 2:21:53things for others. And my family were
  3434. 2:21:56really passionate about
  3435. 2:21:59uh
  3436. 2:22:01elder care, about pediatric care, uh
  3437. 2:22:04about animal welfare. So, there's some
  3438. 2:22:08areas that we just want to give back
  3439. 2:22:09into. So, why not give back big? Uh, I'm
  3440. 2:22:12really fortunate that I've been able to
  3441. 2:22:14form really close relationships with
  3442. 2:22:16some philanthropies I really believe in.
  3443. 2:22:19They're doing good, like really
  3444. 2:22:21efficient work, and I just want to give
  3445. 2:22:23them as much money as possible. I had a
  3446. 2:22:26lot a really special opportunity this
  3447. 2:22:29last year. Uh, Mr. Beast invited me to
  3448. 2:22:33fly to Africa to go to Ghana with him
  3449. 2:22:36and his uh, beast philanthropy. And I
  3450. 2:22:39got to spend time on the cacao farms
  3451. 2:22:42really learning about child labor and
  3452. 2:22:45how big of a problem it was globally.
  3453. 2:22:48Spent a tremendous amount of time with
  3454. 2:22:50his team. And now I'm hellbent on like
  3455. 2:22:55joining forces with them to end child
  3456. 2:22:57labor globally because they have this
  3457. 2:22:59master plan which is wildly
  3458. 2:23:03strategic unlike anything anyone's ever
  3459. 2:23:06tried to do before. I know a lot of
  3460. 2:23:09people don't fully appreciate a lot of
  3461. 2:23:11the stuff that that that Jimmy's trying
  3462. 2:23:13to do in the world, but I have never
  3463. 2:23:16believed in a team more than this team
  3464. 2:23:18in terms of their capabilities
  3465. 2:23:21and what they can achieve on a global
  3466. 2:23:24level. So, I'm like, I need to give them
  3467. 2:23:26a lot more money, too. So,
  3468. 2:23:29I'm like, I think I'm in a position to
  3469. 2:23:31generate a lot of capital, and I want to
  3470. 2:23:33generate it for good causes. That's all.
  3471. 2:23:35It's it's just very simple. AI is making
  3472. 2:23:38intelligence abundant like we know that
  3473. 2:23:40now right like that that's obvious uh
  3474. 2:23:44trust uh one's likability and
  3475. 2:23:47relationships
  3476. 2:23:49will always be scarce like AI will not
  3477. 2:23:53make a dent in any of those things
  3478. 2:23:56scarcity is where the value is always
  3479. 2:23:58going to go so I think it's really
  3480. 2:24:01important for young people to truly
  3481. 2:24:04understand
  3482. 2:24:06that more than anything else, they need
  3483. 2:24:08to build authentic relationships in
  3484. 2:24:11their life and that needs to be priority
  3485. 2:24:14number one for them. I think it's what's
  3486. 2:24:16going to ultimately get them into every
  3487. 2:24:19room that they want to be in. Whether
  3488. 2:24:22it's the job they want to get, whether
  3489. 2:24:25it's the pitch meeting, they're starting
  3490. 2:24:27a company.
  3491. 2:24:29Uh I mean, think about it. You're you're
  3492. 2:24:32interviewing two people and they're
  3493. 2:24:33identical
  3494. 2:24:35in terms of skill set. One of them you
  3495. 2:24:38don't know. Uh one of them you know you
  3496. 2:24:42know they're a likable person, right?
  3497. 2:24:45You trust that person because there's
  3498. 2:24:46someone that is in your network, right?
  3499. 2:24:50Someone in your network has told you,
  3500. 2:24:52"Hey, I've known this person for years.
  3501. 2:24:54They're really trustworthy. I love them.
  3502. 2:24:56They're likable." That's a person you
  3503. 2:24:58want at your company, right? who's going
  3504. 2:25:00to have the edge. This is again very
  3505. 2:25:02simple stuff. Uh in a world where
  3506. 2:25:05everything else seems to get
  3507. 2:25:06democratized, meaning I just need
  3508. 2:25:08someone to learn these things, to help
  3509. 2:25:10work with our AI to accomplish these
  3510. 2:25:12things. And it's extremely difficult to
  3511. 2:25:14assess if that person's better than that
  3512. 2:25:17person at doing that. It will always
  3513. 2:25:19fall back to these intangibles, right?
  3514. 2:25:22And the only way that you can show that
  3515. 2:25:25you have those
  3516. 2:25:28uh traits
  3517. 2:25:30is by having authentic relationships
  3518. 2:25:32with people that can stand up for you
  3519. 2:25:34and say, "Hey, I vouch for this person."
  3520. 2:25:37And that's just extremely important. Um
  3521. 2:25:41I I think even more important
  3522. 2:25:45is the concept of being a creator. Okay,
  3523. 2:25:50being a creator is not about creating
  3524. 2:25:53content. Okay, it is for some people.
  3525. 2:25:56Okay, but like when I talk about being a
  3526. 2:25:58creator, like everyone, every human
  3527. 2:26:02needs to be a creator. Creating is
  3528. 2:26:04basically just a machine for scaling
  3529. 2:26:08familiarity, right? For scaling
  3530. 2:26:12likability and scaling trust. So like
  3531. 2:26:15it's a way to have infinite scale around
  3532. 2:26:19those scarce traits that you can also
  3533. 2:26:22build through authentic relationships,
  3534. 2:26:24but the only way to actually scale them
  3535. 2:26:26in a broad way is through your content.
  3536. 2:26:30And so it's crazy to me to be a young
  3537. 2:26:32person right now and not get out there
  3538. 2:26:35and start creating content because it
  3539. 2:26:37doesn't have to be a job. It doesn't
  3540. 2:26:38have to be for the money.
  3541. 2:26:41It's because it's the literally the only
  3542. 2:26:43way that you can put yourself out there
  3543. 2:26:46and prove that you are a likable person.
  3544. 2:26:50You're a trustworthy person. You start
  3545. 2:26:51developing these parasocial
  3546. 2:26:53relationships with other humans. And it
  3547. 2:26:55ultimately will inevitably always open
  3548. 2:26:58up doors for you in life. I have not met
  3549. 2:27:01a single content creator ever. And I've
  3550. 2:27:04been talking to content creators and
  3551. 2:27:05been friends with them for a decade now
  3552. 2:27:07that hasn't said that content creation
  3553. 2:27:09has done more for them than anything
  3554. 2:27:12else in life beyond any amount of money
  3555. 2:27:14they made from the content. Has nothing
  3556. 2:27:15to do with the money they made just in
  3557. 2:27:17terms of connectivity, opening doors,
  3558. 2:27:21initiating relationships with people. So
  3559. 2:27:24that to me is the most important thing
  3560. 2:27:26in the world. I also think in an AI
  3561. 2:27:29world, there's a massive thirst for like
  3562. 2:27:33the real raw human voice, like people
  3563. 2:27:37that are more there's some people that
  3564. 2:27:39are more human than others. Okay, we
  3565. 2:27:41know that. So, I have this passion for
  3566. 2:27:46kind of getting more into the content
  3567. 2:27:48game. I'm opening up a studio in Austin
  3568. 2:27:50and you know we found a content creator
  3569. 2:27:54who we believe has like the most
  3570. 2:27:59human
  3571. 2:28:01truly authentic transparent
  3572. 2:28:04voice that is
  3573. 2:28:07relatable
  3574. 2:28:08and positive, right? That could really
  3575. 2:28:13create positive change. and we're going
  3576. 2:28:17to try to expand this person's platform
  3577. 2:28:19through podcasting. Uh, you know, part
  3578. 2:28:22of the issue with content creators are
  3579. 2:28:24there are so many that are so amazing,
  3580. 2:28:26but they're usually solo creators. and
  3581. 2:28:29taking that leap from being a solo
  3582. 2:28:32creator to a repeatable, durable
  3583. 2:28:37podcaster where you're actually
  3584. 2:28:40meaningfully putting out regular content
  3585. 2:28:42into the world on a regular basis as
  3586. 2:28:45opposed to being so fragmented and
  3587. 2:28:48reliant upon whatever Tik Tok you're
  3588. 2:28:50doing that day and what the algorithm
  3589. 2:28:52wants to show.
  3590. 2:28:54It's there's a lot of friction involved
  3591. 2:28:56with that. There's cameras, right?
  3592. 2:28:59There's equipment, there's lighting,
  3593. 2:29:02there's operators, there's editing,
  3594. 2:29:05there's clipping, there's studios,
  3595. 2:29:07there's money involved. Uh, a lot of
  3596. 2:29:11young women in particular are afraid of
  3597. 2:29:15that friction and they're afraid of the
  3598. 2:29:17financial risk that comes with trying to
  3599. 2:29:19launch a podcast. So, we thought, hey,
  3600. 2:29:22let's find the most talented woman
  3601. 2:29:24creator we can who has not yet moved
  3602. 2:29:28into the podcast genre and try to do
  3603. 2:29:31something really special. So, that's
  3604. 2:29:32what we're doing in Austin. It's a
  3605. 2:29:34really fun thing. I'm also doing a
  3606. 2:29:36spin-off of my show, Dumb Money Live.
  3607. 2:29:38That is going to be the funnest thing
  3608. 2:29:40I've ever done in my life for myself.
  3609. 2:29:43I'm so ecstatic about it that I haven't
  3610. 2:29:46talked about like no one really knows
  3611. 2:29:47except my my bis my YouTube partners. Um
  3612. 2:29:51but I just realized that like I'm having
  3613. 2:29:54more fun with content than I even have
  3614. 2:29:56with investing. It's the only thing
  3615. 2:29:58where I've ever like experienced more
  3616. 2:30:01joy than the joy of like searching for
  3617. 2:30:04gold with the next big investment and
  3618. 2:30:08then hitting it. You know what I'm
  3619. 2:30:09saying? like and I think the reason why
  3620. 2:30:12is because I'm at a point in my life
  3621. 2:30:14where I realize that the most fulfilling
  3622. 2:30:17joyful thing is connections with people
  3623. 2:30:20and so content as I said allows you to
  3624. 2:30:22connect with more people more often and
  3625. 2:30:26so I just want to go deeper into a world
  3626. 2:30:28that gives something back to me and
  3627. 2:30:32where also I can give something to other
  3628. 2:30:34is a spin-off of Dumb Money where you're
  3629. 2:30:35going to have
  3630. 2:30:36>> it's a spin-off of Dumb Money but it is
  3631. 2:30:38so different than dumb money. This is
  3632. 2:30:40has nothing to do with investments.
  3633. 2:30:43>> I'll just
  3634. 2:30:44>> It's you in your kitchen,
  3635. 2:30:46>> dude. I'm telling you, [laughter]
  3636. 2:30:48I could be wrong, but if we execute on
  3637. 2:30:52this show, it's going to be so fun. Uh
  3638. 2:30:56it's just going to be so fun. Like for
  3639. 2:30:58me, I'm ready to do something a little
  3640. 2:30:59more fun and I can't wait. So like you
  3641. 2:31:03you know, like I'm all about like
  3642. 2:31:05culture. Uh, and I think this like hits
  3643. 2:31:09youth culture especially right where it
  3644. 2:31:12is right now. And it's something that no
  3645. 2:31:14one has exposed before in terms of
  3646. 2:31:16culture. And I want this show to expose
  3647. 2:31:19it. I I I'll just leave it at that.
  3648. 2:31:21>> See it? Text it to me when you have. Is
  3649. 2:31:23it have anything to do with shoes?
  3650. 2:31:25>> It has nothing to do with shoes.
  3651. 2:31:27[laughter] As you know, like like this
  3652. 2:31:29is what's so crazy. I spent five almost
  3653. 2:31:31five years building Collecton, the
  3654. 2:31:32world's largest Pokemon conference. We
  3655. 2:31:34sold it a few months ago to Ari Emanuel
  3656. 2:31:36and it's like was the biggest exit I've
  3657. 2:31:38ever had in my life. I don't collect
  3658. 2:31:40Pokemon cards. [laughter] I spent years
  3659. 2:31:43at Pokemon conferences with hundreds of
  3660. 2:31:45thousands of people hanging out with
  3661. 2:31:47Pokemon collectors and I'm like, dude,
  3662. 2:31:49this is crazy. I enjoy it cuz I thought
  3663. 2:31:53the people were awesome, but the
  3664. 2:31:55underlying Pokemon, it was after my
  3665. 2:31:58youth, right? So, like I never got into
  3666. 2:32:00Pokemon. This is something I'm gonna
  3667. 2:32:03have fun with. I'll just I'll just gonna
  3668. 2:32:04leave it at that.
  3669. 2:32:05>> I love it. I love it. Okay, I want to
  3670. 2:32:07unveil the stock we have in this
  3671. 2:32:09envelope. Demetri, can you please pull
  3672. 2:32:10this out? Okay, so this is a stock that
  3673. 2:32:13it's a secret stock you haven't talked
  3674. 2:32:15about before publicly. You're watching
  3675. 2:32:17it right now. You haven't put the
  3676. 2:32:18position on yet, but this is the the
  3677. 2:32:21type of stock that you're observing.
  3678. 2:32:23You're in the observation phase and
  3679. 2:32:25you're doing your homework on and you
  3680. 2:32:26may put a position on. This is the type
  3681. 2:32:28of investment where the position
  3682. 2:32:30fluctuates
  3683. 2:32:32day by day and I could be out of it
  3684. 2:32:35completely and then short the stock
  3685. 2:32:39a minute after I'm long the stock,
  3686. 2:32:40right? Depending on new information
  3687. 2:32:42coming to light because the the
  3688. 2:32:43information is coming quick, right? It's
  3689. 2:32:45a fun one. It's a fun one because a lot
  3690. 2:32:49of my background is trading video games
  3691. 2:32:54and video game console makers back from
  3692. 2:32:57the very earliest days of consoles and
  3693. 2:33:00video games. It's some of my biggest
  3694. 2:33:02trades.
  3695. 2:33:02>> All right, and let's and let's so let's
  3696. 2:33:03unveil it. So, this is the one stock
  3697. 2:33:05that we're talking about now that you
  3698. 2:33:07haven't talked about publicly. You put a
  3699. 2:33:08small position on, but you're we're
  3700. 2:33:10going to see what happens. And the stock
  3701. 2:33:11is Take 2 Interactive. The ticker is
  3702. 2:33:14TTWO.
  3703. 2:33:15>> That's right. Tell me about it. Tell me
  3704. 2:33:17about the thesis there.
  3705. 2:33:18>> Everybody knows Grand Theft Auto GTA 6.
  3706. 2:33:22We've been waiting 13 years. It's maybe
  3707. 2:33:25the biggest
  3708. 2:33:27release of an entertainment product in
  3709. 2:33:29human history. It's one of the biggest
  3710. 2:33:33cultural releases that we will see in
  3711. 2:33:35our lifetime. It's huge. Basically,
  3712. 2:33:38every guy is going to be doing nothing
  3713. 2:33:41but playing this game from November
  3714. 2:33:43through the end of the year. Okay. So,
  3715. 2:33:46the big question is, cuz Take 2 has like
  3716. 2:33:49the entire company hinging on the
  3717. 2:33:51success or failure of this game, is it
  3718. 2:33:54priced in? And where's the new
  3719. 2:33:56information that's going to make us want
  3720. 2:33:57to own it or sell it?
  3721. 2:34:00The game is priced in. Okay, Grand Theft
  3722. 2:34:04Auto 6 is fully priced in. What is not
  3723. 2:34:07priced in is the ultimate
  3724. 2:34:14success or failure of the game. Okay?
  3725. 2:34:18Because the game
  3726. 2:34:20can do exceptionally well, better than
  3727. 2:34:23anyone ever thought it would be. And
  3728. 2:34:25what I mean by that is if the game play
  3729. 2:34:28is truly amazing, if they deliver a
  3730. 2:34:34living world, right? If they truly can
  3731. 2:34:37deliver a immersive living world that
  3732. 2:34:39you never want to leave, the
  3733. 2:34:41modernization opportunities within that
  3734. 2:34:44world will be endless. That is not
  3735. 2:34:47priced in yet. Nor do we know that that
  3736. 2:34:50will be the world that they're creating.
  3737. 2:34:54If they don't deliver that world,
  3738. 2:34:58it's stock is probably too high.
  3739. 2:35:02>> So this is like a little bit of a binary
  3740. 2:35:04event. is this is where you learn by
  3741. 2:35:06going on Tik Tok starting to listen to
  3742. 2:35:08all these people talking about it and
  3743. 2:35:09they're and all these people are maybe
  3744. 2:35:10saying, "Oh, I'm buying this in the app.
  3745. 2:35:12I'm buying this in the app."
  3746. 2:35:13>> So, a lot of things are happening like
  3747. 2:35:14they're about to release the first
  3748. 2:35:16gameplay footage in a Netflix special,
  3749. 2:35:19which is just crazy in itself, right?
  3750. 2:35:21Like that's about to happen. Uh, but
  3751. 2:35:23there was a huge leak this last week of
  3752. 2:35:26gameplay. So, there was a hacker who
  3753. 2:35:28hacked into the game, which is
  3754. 2:35:29unprecedented
  3755. 2:35:31and is leaking footage every day. Now,
  3756. 2:35:37the stock got hit on that, but some
  3757. 2:35:39people can say that it's actually
  3758. 2:35:41benefiting the game because it's driving
  3759. 2:35:43a tremendous amount of conversation,
  3760. 2:35:44hype. I don't really care about that one
  3761. 2:35:47way or the other. But I care about, and
  3762. 2:35:50by the way, the reason why he hacked the
  3763. 2:35:52game is because this is one of the first
  3764. 2:35:55big big games to be released only
  3765. 2:35:58through digital, meaning there's no hard
  3766. 2:36:00copy of the game that you can actually
  3767. 2:36:04buy and hold, right? So, you got to
  3768. 2:36:05digitally download it.
  3769. 2:36:07So, what I care about is do people like
  3770. 2:36:12what they're seeing in these in this
  3771. 2:36:14release footage or not? So, I've been
  3772. 2:36:16obsessive reading through every single
  3773. 2:36:18comment of a normal person, a normal
  3774. 2:36:21gamer, not an investor in take two. I
  3775. 2:36:23don't care about those guys. I'm only
  3776. 2:36:25looking at people that are just saying,
  3777. 2:36:27"I love it or hate it." And the
  3778. 2:36:30consensus has been positive.
  3779. 2:36:32>> They love it.
  3780. 2:36:33>> Based on what they can see, they tend to
  3781. 2:36:35love it. But, but it's not clear yet.
  3782. 2:36:37It's not clear. Okay.
  3783. 2:36:39>> Because they're just seeing screenshots.
  3784. 2:36:40They're not playing it yet. It's it's
  3785. 2:36:41it's more Well, they're watching
  3786. 2:36:44>> Oh, it's a video.
  3787. 2:36:45>> This guy play it. Yeah. Oh, really?
  3788. 2:36:46Okay.
  3789. 2:36:46>> So So there's more love than hate.
  3790. 2:36:49>> So which is why I opened my position as
  3791. 2:36:51a long position. But again, as more
  3792. 2:36:54footage comes out, I could change. I can
  3793. 2:36:57shift. I can I can I can start to sell
  3794. 2:36:59off my position. I could add to my
  3795. 2:37:01position. It's totally dependent on how
  3796. 2:37:04the information shifts every hour of
  3797. 2:37:06every day from now until the game
  3798. 2:37:09ultimately comes out because that's all
  3799. 2:37:12that matters to me. But this is the type
  3800. 2:37:14of social orb trade that I love because
  3801. 2:37:16there's a lot of noise, a lot of noise,
  3802. 2:37:18but I know that the only thing that
  3803. 2:37:20actually matters is gameplay. And I'm
  3804. 2:37:23willing to go in deeper on take two if
  3805. 2:37:27the game play materializes as a world
  3806. 2:37:30that people don't want to leave. And if
  3807. 2:37:33it doesn't materialize as that, I'm out.
  3808. 2:37:36And maybe shorting the stock. So, so, so
  3809. 2:37:38we're just going to have to wait and
  3810. 2:37:39see.
  3811. 2:37:40>> But yeah, this is a this is a big
  3812. 2:37:41moment. And it's nostalgic for me
  3813. 2:37:44because I traded
  3814. 2:37:46I traded GTA 13 years ago. Okay. Like I
  3815. 2:37:50like I I traded Take Two. I traded Take
  3816. 2:37:53Two on every release. So, like I was a
  3817. 2:37:56big trader in Take Two back before
  3818. 2:37:58anybody cared about this stuff. So, it's
  3819. 2:38:01pretty nostalgic for me. I mean, one of
  3820. 2:38:03my biggest trades ever is tra, you know,
  3821. 2:38:05I had 100% of my brokerage account in a
  3822. 2:38:08in a foreign ADR of Nintendo stock cuz
  3823. 2:38:11it didn't trade in the US exchange when
  3824. 2:38:12they released the uh the Wii console for
  3825. 2:38:16the first time. So, because I
  3826. 2:38:19experienced it with my own hands, the
  3827. 2:38:21same same way people experienced Tesla
  3828. 2:38:23for the first time. I was one of the
  3829. 2:38:25very few people that went to the E3
  3830. 2:38:27conference that wasn't like a gaming
  3831. 2:38:28person and actually experienced it. I
  3832. 2:38:31was like, "No, no, no. People are
  3833. 2:38:32underestimating this console. This is
  3834. 2:38:34this is kind of a game changer." So,
  3835. 2:38:36like I I love this stuff. It's just it's
  3836. 2:38:39fun for me. That's why I used to trade
  3837. 2:38:41movie releases and all. It's it's just
  3838. 2:38:43it's the fun side of investing. Yeah,
  3839. 2:38:47and
  3840. 2:38:47>> it's part of the culture.
  3841. 2:38:49>> Chris, thank you so much for coming on
  3842. 2:38:50Dakota Genius.
  3843. 2:38:51>> Well, thanks for having me. This this
  3844. 2:38:53has been fun.
  3845. 2:38:54>> The whole reason I started Dakota Genius
  3846. 2:38:56was to learn from extraordinary people
  3847. 2:38:58and give back by sharing these
  3848. 2:38:59conversations with you. So, if you've
  3849. 2:39:01got something from this, anything at
  3850. 2:39:03all, please do me a favor, hit like,
  3851. 2:39:05subscribe, and tell me in the comments
  3852. 2:39:07what stuck with you. And most
  3853. 2:39:09importantly, share this with someone who
  3854. 2:39:11could benefit from it. Thank you so much
  3855. 2:39:13for spending your time with me. I don't
  3856. 2:39:14take it for granted.

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