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The Best Trade Is Still Ahead with Jordi Visser | Raoul Pal The Journey Man — Transcript

by Raoul Pal The Journey Man · 14,032 words · 1,974 segments · language en · Watch on YouTube

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  1. 0:00The issue is which people don't
  2. 0:01understand is once you start leaning
  3. 0:02into this stuff, your actual constraint
  4. 0:04is still the same, [music] which is
  5. 0:06there is more demand. And last month I
  6. 0:08spent 11 grand on top [music] of my Mac
  7. 0:11subscription. This is what people don't
  8. 0:12understand. It's almost well, it is
  9. 0:14infinite demand.
  10. 0:15>> It's infinite demand. And the more you
  11. 0:16use it, the more it [music] fills up.
  12. 0:18And that's why anyone who thinks that
  13. 0:20they're going to get free time from AI,
  14. 0:21it's the opposite. My time is completely
  15. 0:23saturated. Token 2049 [music] Singapore,
  16. 0:26the world's largest crypto event,
  17. 0:28returns to Marina Bay Sands on the 7th
  18. 0:30of 8th of October. On stage will be
  19. 0:33myself, Jeff Yan from Hyperlquid, Shane
  20. 0:35Copam from Poly Market, and the Real
  21. 0:37Vision community gets 10% off tickets.
  22. 0:40Claim yours using the link below. See
  23. 0:42you there. Hi, I'm Ral Pal and welcome
  24. 0:45to my show, The Journeyman. The
  25. 0:47journeyman as you know by now is where
  26. 0:49we travel to that nexus of understanding
  27. 0:51of macro crypto and the exponential age
  28. 0:53of technology.
  29. 0:55About once a quarter I always have a
  30. 0:58fantastic conversation with a very good
  31. 0:59friend of mine Jordi Vissa. Jordi and I
  32. 1:02same background the hedge fund world
  33. 1:05investment banks and we both leapt into
  34. 1:07the world of crypto and technology and
  35. 1:10overlay it with our macro thinking. It's
  36. 1:12always a great conversation. I'm sure
  37. 1:14you're going to enjoy it. But before we
  38. 1:15get to [music] today's show, this
  39. 1:17episode is brought to you by Pith. Pith
  40. 1:19Network is the fastest growing financial
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  51. 1:42cost. Go to pith.network network to take
  52. 1:45advantage of their free trial. Join me,
  53. 1:48Ral Pal, as I go on a journey of
  54. 1:50discovery through the macro, crypto, and
  55. 1:53exponential age landscapes. In the
  56. 1:55journey, man, I talk to the smartest
  57. 1:57people in the world so we can all become
  58. 2:00smarter together.
  59. 2:05Jord Vissa, how the devil are you,
  60. 2:08>> Raul? I'm great. How you doing?
  61. 2:11>> Good. take my glasses off for you.
  62. 2:13>> Just um Yeah, I had surgery. I've got
  63. 2:16rid of my glasses finally. I had
  64. 2:18>> I had You had laser surgery cuz I'm an
  65. 2:20old man and uh I can now see. It's
  66. 2:23amazing.
  67. 2:24>> Yeah, I had I had Lasix surgery I don't
  68. 2:27know if it's maybe 12 years ago now. It
  69. 2:30was great for the first five years and
  70. 2:32then you know you need readers anyway.
  71. 2:34So
  72. 2:35>> yeah, exactly. It's uh but it's amazing
  73. 2:38the technology, right? It's just
  74. 2:39amazing. You just get that done.
  75. 2:42>> So, what's happening with you? What's on
  76. 2:44your mind right now?
  77. 2:47>> I always love our chats because I have
  78. 2:48no idea where they're going to go. We
  79. 2:49just
  80. 2:50>> go somewhere.
  81. 2:51>> Well, rather than start with um with
  82. 2:55crypto and and AI, um let's let's talk
  83. 2:59bonds. Um
  84. 3:00>> yeah. Okay. Interesting.
  85. 3:02>> Where where my brain is, I I I I
  86. 3:06literally believe this is the most
  87. 3:09the biggest marketing scam I've ever
  88. 3:10seen in terms of people so fixated on
  89. 3:15this quote unquote collapse in bonds
  90. 3:17around the globe on 30-year yields. And
  91. 3:20I think this is a social media thing
  92. 3:22more than than anything. And it it only
  93. 3:25hit me when someone said something to me
  94. 3:27and said, "Have you looked at the charts
  95. 3:29of US bonds?" And I went, "Well, yeah. I
  96. 3:33look at the total return of them all the
  97. 3:35time and they're down 3% year-to date
  98. 3:37for the 20 plus ETF. uh this is not a
  99. 3:41big move but because you have these
  100. 3:43charts showing well this is the highest
  101. 3:45yield in the last 20 years and I I got
  102. 3:49into a discussion recently with someone
  103. 3:51we both know and they said how are you
  104. 3:53not concerned about this uh with regards
  105. 3:56to AI and the capital buildout and I've
  106. 3:58heard you talk about some of this stuff
  107. 4:00and I said when did it become this thing
  108. 4:03where when PMIs around the globe are are
  109. 4:05are going higher when profits are are
  110. 4:08not only soaring But they're at levels
  111. 4:11almost unprecedented. But they are
  112. 4:13unprecedented when you put the fact that
  113. 4:15we're not hiring anyone, that employment
  114. 4:17is barely growing and we're at
  115. 4:19recessionary type hiring levels. Profit
  116. 4:21margins are expanding. Don't you think
  117. 4:23you might be missing something? And oh,
  118. 4:25by the way, if you would have sold the
  119. 4:27NEI last May when they hit their highs
  120. 4:30in 30-year yields, you'd be down 70% or
  121. 4:33missing 70%. So that's where my head is
  122. 4:35right now is I think this this bond
  123. 4:38yield panic that everyone has that I
  124. 4:41think Ray Dalio and everyone's gone in
  125. 4:43and then you know the op-ed from Duck I
  126. 4:46think it just has a a big focus and can
  127. 4:48Bessant actually keep this in check when
  128. 4:50the reality is we've been through enough
  129. 4:52cycles that yields going higher is
  130. 4:55probably going to mean a lot of weaker
  131. 4:57places companies go out of business but
  132. 4:59that was going to happen with AI anyway
  133. 5:01so I don't view this as a negative thing
  134. 5:03I view it as a positive positive.
  135. 5:05>> Yeah, I mean I just a I think Besson's
  136. 5:08made it pretty clear that
  137. 5:11he need I mean really it's a supply
  138. 5:13issue because you've got the AI guy, you
  139. 5:16know, the hyperscalers now issuing and
  140. 5:17the government issuing and you basically
  141. 5:21need a weaker dollar for the foreign
  142. 5:24central banks to buy bonds. And he's
  143. 5:27gone over to Japan and he's gone to
  144. 5:29China and he's gone to South Korea and
  145. 5:31he's gone to the UAE. He's sorted out
  146. 5:33swap lines and I think he's got an
  147. 5:35agreement with the Chinese is look we'll
  148. 5:37try and lower the dollar and then the
  149. 5:38interview in the yen. So you know he's a
  150. 5:41macro guy. We've known him for a long
  151. 5:42time and you know what he's up to and
  152. 5:45then he's gone around he's a bond
  153. 5:46salesman so he has to go around and find
  154. 5:48a place for these bonds and so I just
  155. 5:51think that yeah they're going to be
  156. 5:53pretty anchored in the end but what
  157. 5:56everybody needs is a steeper yield
  158. 5:58curve. So they kind of do need the Walsh
  159. 6:00part of the equation and I think Walsh
  160. 6:02is playing the game which is he's got to
  161. 6:04sound credible and tight but he knows
  162. 6:07and Bessant keeps saying the inflation
  163. 6:08numbers are going to be weaker than
  164. 6:09expected and productivity is going to be
  165. 6:11stronger and you know Bessant's saying
  166. 6:14things like I'm armed with inside
  167. 6:15information and so you kind of feel that
  168. 6:20wherever the rates are um we're kind of
  169. 6:25in the range where they should unlikely
  170. 6:27to go higher. You know, I look at demark
  171. 6:29a lot as indicators. They're stacking up
  172. 6:31on the weeklies, dailies, monthlies.
  173. 6:33It's very close to that reversal when
  174. 6:35it's peak fear. Um, and it doesn't do
  175. 6:38much damage to most people. As you said,
  176. 6:40there is an old economy that is heavily
  177. 6:43in debt and over time that's going to
  178. 6:45get into trouble. There's a lot of these
  179. 6:47credit funds and all of that stuff that
  180. 6:48needs clearing at some point. I don't
  181. 6:50think it clears now. I think it clears
  182. 6:52at some at some point down the road from
  183. 6:55the the nexus of both AI and this and
  184. 6:58and yield. So I kind of still are
  185. 7:01looking for the weaker dollar and a
  186. 7:03steeper yield curve and just see how it
  187. 7:06goes from there. And that to to your
  188. 7:08Japan point is
  189. 7:12that's exactly what Japan did is they
  190. 7:14engineered a steep yield curve and guess
  191. 7:15what? The bank started lending. If
  192. 7:17you're going to if we're going to
  193. 7:18finance this massive capex voom boom,
  194. 7:21you need the banks to be lending. It's
  195. 7:22as simple as that. And then you just
  196. 7:23steep a yield curve at whatever it is 40
  197. 7:25basis points. It's just not enough.
  198. 7:28>> And again, if if if I was worried about
  199. 7:31things, I'd be looking at how bank
  200. 7:33stocks are trading around the globe. And
  201. 7:34bank stocks around the globe are up, you
  202. 7:36know, 30% year-over-year. So, you know,
  203. 7:39I'm a big believer and you know, in when
  204. 7:43people talk about the fact that the
  205. 7:44market is a discounting uh mechanism,
  206. 7:47I've always subscribed to that and I
  207. 7:49believe the rate of change of the stock
  208. 7:51prices would tell you the same way that
  209. 7:53earnings and profit margins should mean
  210. 7:55revert. If we're heading into a problem,
  211. 7:57you should see hiring going through. But
  212. 7:59if you're not hiring anyone and revenues
  213. 8:02are growing and you have a fiscal
  214. 8:05deficit and you have all this spending
  215. 8:07happening from the private sector, you
  216. 8:09know, we can all get worried. Um, but I
  217. 8:11I just don't see it as something there.
  218. 8:13I I want to bring something up to you
  219. 8:14because I've been
  220. 8:14>> just one side just to go back on that.
  221. 8:16I'm not sure if it was you who mentioned
  222. 8:17it or somebody else that if you want
  223. 8:20evidence of productivity, it's the point
  224. 8:23you're exactly raising. Record earnings
  225. 8:26and low employment. And that's I mean
  226. 8:30that is your answer. The other thing on
  227. 8:31productivity I just want to mention is I
  228. 8:34wrote a whole article in GMI about
  229. 8:36Amazon and used Amazon as an example of
  230. 8:39what the global economy would look like
  231. 8:42if they adopted AI and robotics to its
  232. 8:45core. Right? Because that's what
  233. 8:46Amazon's done since over the last eight
  234. 8:49years or so. They've completely turned
  235. 8:51into a productivity machine where their
  236. 8:54kind of earnings are now going up, their
  237. 8:56margins are going up because they've
  238. 8:57employed this technology and it's like
  239. 8:59that's proof of what the world will look
  240. 9:01like when people catch up. Amazon's just
  241. 9:03a pioneer.
  242. 9:05>> Yeah. Yeah. And I I I heard you mention
  243. 9:06that and I don't remember which
  244. 9:08interview or which thing it I think you
  245. 9:10were actually talking to someone and
  246. 9:12then you brought it up and it reminded
  247. 9:14me of you know I went out to Silicon
  248. 9:16Valley to kind of migrate away from the
  249. 9:19traditional macro way I'd approach
  250. 9:20things back in 2013 and the reason was
  251. 9:23this collision between two things. One
  252. 9:26was the debtfilled let's just grow at
  253. 9:28any pace Chinese. I I viewed them as the
  254. 9:31caboose of this kind of debtfueled
  255. 9:34world. They built out all the cities and
  256. 9:36I realized that's it. They've got a
  257. 9:37demographic issue just like the Western
  258. 9:39world. They have a debt problem that
  259. 9:41they're going to have to basically find
  260. 9:42a way to burn off over time. And I went
  261. 9:46out to Silicon Valley because Amazon
  262. 9:48didn't make any sense to me in 2013. I
  263. 9:50didn't understand how a company could
  264. 9:51trade at an infinity PE and really smart
  265. 9:54people were convincing me that it was
  266. 9:56you you're not getting it. So, I had to
  267. 9:58go there and that changed my mind. and I
  268. 9:59went to Singularity University and
  269. 10:01that's the the the beginning stage of me
  270. 10:03believing that where we are now there's
  271. 10:06a time mismatch and I really do believe
  272. 10:08this the reason the Nikai thing is so
  273. 10:10important to me so May of last year the
  274. 10:12NE the 30-year yields and the JGB's
  275. 10:14break through alltime highs if you go
  276. 10:16search in Grock and you say show me all
  277. 10:18the the posts that came out in X around
  278. 10:21the peak of this you'll get a zero hedge
  279. 10:23one saying the world is going to blow up
  280. 10:24this is the biggest thing
  281. 10:25>> the yen carry trade the carry trade all
  282. 10:28this stuff and here we are um you know
  283. 10:3018 months later and the Nikkei is off
  284. 10:32the highs. So this is not me saying at
  285. 10:35the peak. This is it's still up 70% from
  286. 10:37that point. And the reason it's
  287. 10:40important is I really do believe we have
  288. 10:42one side of the equation that's moving
  289. 10:44at exponential speed and then we have
  290. 10:46all of the old legacy world even the
  291. 10:49debt which is based on human speed. And
  292. 10:52the problem is if you're growing on one
  293. 10:54side so fast, if you're able to grow
  294. 10:56earnings but not hire people, GDP
  295. 10:59doesn't know how to capture that yet. We
  296. 11:02don't have a way to capture that. How
  297. 11:04are we growing earnings and revenue so
  298. 11:06fast and not hiring anyone? And and if
  299. 11:09people say, "Well, we're hiring some
  300. 11:10people demographics." If you strip out
  301. 11:13health care, which will be the last of
  302. 11:15the things that will be greatly impacted
  303. 11:17by AI, there's no hiring and there
  304. 11:19hasn't been any hiring for 20 months
  305. 11:21now. So the question comes in profit
  306. 11:23margins are definitely a way to look at
  307. 11:24it. But I think this mismatch between
  308. 11:27something moving so fast that you can't
  309. 11:30comprehend what ARR means in anthropic
  310. 11:33and open AAI and cursor before it. We've
  311. 11:35never seen these types of movements. And
  312. 11:37then on the other side, oh, debt's up
  313. 11:39again. We're up another trillion
  314. 11:40dollars, but it's growing at a pace far
  315. 11:42slower than the exponential side. And
  316. 11:44that's where I think the mismatch is.
  317. 11:46>> And what about
  318. 11:48the old way we used to look at bonds was
  319. 11:51just nominal GDP. So maybe, you know,
  320. 11:54how I'm thinking about this is yes, you
  321. 11:56know, financial repression means they
  322. 11:58want to keep bond yields below nominal
  323. 12:00GDP. Fine. Um, but they should have a
  324. 12:03tendency to rise and we'll probably swap
  325. 12:05out the inflation component for the
  326. 12:07productivity component. That's kind of
  327. 12:09my working roadmap.
  328. 12:11>> Yeah. And you you know this uh as well
  329. 12:14as I do, but historically basically
  330. 12:17before 1997, Treasury yields, 10ear
  331. 12:20yields usually traded about 200 basis
  332. 12:22points above nominal GDP. So nominal GDP
  333. 12:25right now is at 6% in the US
  334. 12:27year-over-year, six and change. So
  335. 12:29theoretically, using the pre97 time, we
  336. 12:32should be up at 8 1/2%. Well, we're not
  337. 12:34up at 8 and 1/2, we're 4 and 3/4. So
  338. 12:37we're already trading below. Now this
  339. 12:39started that switch off started in 1997.
  340. 12:42Now that was the Asian financial crisis
  341. 12:44which was the original cause. But that
  342. 12:46was also when we started this whole okay
  343. 12:49the demographic shift. The the debt is
  344. 12:51now increasing. And at the same time
  345. 12:54that was really when the internet
  346. 12:55started to become an investable thing.
  347. 12:58And all of those things kind of line up.
  348. 13:00And that's where I think everyone's just
  349. 13:01getting way over their skis on looking
  350. 13:03at the bond market and believing that AI
  351. 13:06can't continue to grow. And I know you
  352. 13:08know this, but most people don't. The
  353. 13:10interest cost for them, whether they pay
  354. 13:126%, 8%, 9%, it doesn't change their
  355. 13:16profits on their business. This is such
  356. 13:18a small.
  357. 13:19>> In fact, profits went up for most of the
  358. 13:21hyperscalers because they have cash. Now
  359. 13:24they don't have as much cash, but yeah,
  360. 13:26they made a fortune from it.
  361. 13:27>> Yeah. And
  362. 13:27>> that's the whole of Japan, by the way.
  363. 13:29the whole of Japan, every household
  364. 13:31>> is a saver. So, you're giving them extra
  365. 13:34money and which people don't realize.
  366. 13:36>> Yeah. And so inflation will stay above
  367. 13:38the 2%. It will freak people out. But I
  368. 13:41view this as an academic argument. I
  369. 13:43just think people are using their
  370. 13:44history books. They're using a time
  371. 13:46where if the consumers of the world, the
  372. 13:49growers of the world were human beings,
  373. 13:51that's one thing. But we have billions
  374. 13:54of AI agents over the next 12 months.
  375. 13:56Billions. And now with Gac and the
  376. 13:58ability to just create I mean I've
  377. 14:00created more AI agents in the past
  378. 14:02whatever it's been 10 days since I
  379. 14:04started using it. I can't stop coming up
  380. 14:07with ideas. So if you look at it now I'm
  381. 14:08running into the problem a lot of people
  382. 14:10are which is I have 75 agents and I I
  383. 14:12got to make sure that I remember who's
  384. 14:13who. That's my biggest issue. So we're
  385. 14:15just
  386. 14:15>> Yeah. But I had to create a even on my
  387. 14:18Claude I had to create a COO to manage
  388. 14:20all of my agents cuz in the full-time
  389. 14:22[ __ ] job because they keep breaking
  390. 14:24or disappearing or whatever. So, I've
  391. 14:26got that and then I'm using the Grock
  392. 14:28one and I'm already at like six Asians.
  393. 14:29I only started three days ago. It's
  394. 14:31insane. The the issue is which people
  395. 14:34don't understand is once you start
  396. 14:35leaning into this stuff, your actual
  397. 14:37constraint is still the same, which is
  398. 14:39there is more demand. And what happened
  399. 14:42to me is like I started having to pay
  400. 14:44for Fable 5 and it went from like a
  401. 14:47couple of grand and last month I spent
  402. 14:4911 grand on top of my Mac subscription.
  403. 14:52I'm like this is what people don't
  404. 14:53understand. It's almost well it is
  405. 14:55infinite demand.
  406. 14:57>> It it it's infinite demand and the more
  407. 14:59you use it the more it fills up. And
  408. 15:01that's why um anyone who thinks that if
  409. 15:03they're still working in any kind of way
  410. 15:06that they're going to get free free time
  411. 15:08from AI, it's the opposite. Um my time
  412. 15:10is completely saturated. It's filled.
  413. 15:13It's taken away from watching sports, a
  414. 15:14lot of other things. But it just shows
  415. 15:16how much I like learning, how much I
  416. 15:18like being on top of what's going on.
  417. 15:21And I'm starting to spend all of my time
  418. 15:23on tokenization. Um, I've been asked by
  419. 15:26again a lot of people we know on the
  420. 15:27macro side because I do these weekly
  421. 15:29videos and I've been starting to migrate
  422. 15:32more towards the importance of
  423. 15:33tokenization in in a broader scale. Um,
  424. 15:37I've never had more fun learning a topic
  425. 15:39and connecting it back to the world that
  426. 15:42we grew up in and the impact that it's
  427. 15:44going to have. And especially as we're
  428. 15:46seeing countries start to go through the
  429. 15:48same race for different reasons that
  430. 15:51China and the US are in AI, Japan's
  431. 15:53realizing that if they don't adopt the
  432. 15:56blockchain for all of their assets
  433. 15:58quickly, their capital markets will
  434. 16:00worsen. And capital markets are now
  435. 16:02becoming one of the topics that everyone
  436. 16:03cares about because we need to raise
  437. 16:05money. So the depth of the markets to
  438. 16:07take capital, the democratization of
  439. 16:09everyone being able to invest has become
  440. 16:12more important. So tokenization becomes
  441. 16:14a very important solution to the
  442. 16:16problems we're having with the 10ear
  443. 16:18yield. Um it really is, hey, I want to
  444. 16:21go raise debt. Well, let's pocket this
  445. 16:23in something where 8 billion people can
  446. 16:25buy it as opposed to just isolated to a
  447. 16:27few few places even though they have a
  448. 16:30lot of money. So, I think tokenization
  449. 16:32and this whole um ability to learn about
  450. 16:34what's going on and connect it back. I
  451. 16:36I'm I'm having the best time with this.
  452. 16:37>> What do you think happens with the asset
  453. 16:39management complex? Cuz let's say debt,
  454. 16:41okay, let's say corporate debt. So
  455. 16:44corporate debt tends to get aggregated
  456. 16:46into funds that then get bought by
  457. 16:49pension plans
  458. 16:51um maybe in a 401k but rarely um because
  459. 16:55they they tend to be um only available
  460. 16:58to accredited investors and that kind of
  461. 17:00stuff. So what happens to all of those
  462. 17:02people in that chain? They have to adapt
  463. 17:04or die, right?
  464. 17:06>> They have to adapt or die. It's
  465. 17:08deflationary obviously. Um because the
  466. 17:12one thing about
  467. 17:14the industry of asset management is and
  468. 17:17we all know this we make returns we
  469. 17:20don't make things and those returns
  470. 17:24are judged by someone on whether they
  471. 17:26can understand them because if if they
  472. 17:30did it based on true historical returns
  473. 17:32then Bitcoin would be much higher than
  474. 17:34it is today because it's been the best
  475. 17:36performing asset over the last 15 years.
  476. 17:38If it was a hedge fund and it had a
  477. 17:39human being describing what it did and
  478. 17:41you had the same returns as Bitcoin, it
  479. 17:43would be many, many trillions of dollars
  480. 17:45more than it is today. But because it's
  481. 17:47a black box, there's no story. There's
  482. 17:49no narrative. Human beings have a hard
  483. 17:50time. The one thing about asset
  484. 17:52management is that younger people are
  485. 17:54very comfortable not having a human
  486. 17:56being deal with them. And so the way
  487. 17:57that I viewed this is it will take some
  488. 17:59time, but this is a massive disruption
  489. 18:03to asset managers. And let me break it
  490. 18:05into two parts. The one part you're
  491. 18:06saying is if you believe in
  492. 18:08diversification, if you believe that by
  493. 18:10investing in 10,000 assets that are
  494. 18:12possibly yielding between 8 and 10%. The
  495. 18:16diversification of choosing
  496. 18:18things that get paid off movie royalties
  497. 18:20that get paid. Think about every single
  498. 18:22thing you can and you diversify and
  499. 18:24everyone you're choosing from is
  500. 18:26returning 8 to 10% with a good sharp
  501. 18:28ratio, but they're completely
  502. 18:29uncorrelated. You are by definition
  503. 18:32creating a better return stream that
  504. 18:33will have no volatility. you're
  505. 18:34basically replicating what the
  506. 18:36millenniums and the citadels have been
  507. 18:37able to do over time. And so I think
  508. 18:39that that's the thing people are missing
  509. 18:40is it might take a little time, but
  510. 18:42eventually the diversification
  511. 18:44opportunities, the instant ability to
  512. 18:46find this many strategies and find a
  513. 18:48thousand of them because when you meet a
  514. 18:50pension fund, their biggest issue is
  515. 18:51well I I can't find a manager that can
  516. 18:53handle the money that I have and still
  517. 18:56generate the returns. Well, if you can
  518. 18:58invest in every single person in the
  519. 19:00Philippines and everything like that
  520. 19:01through a democratization, you can
  521. 19:03create an 8 to 10% return stream with a
  522. 19:05tuval and all of a sudden now you have
  523. 19:07all this money. But the other thing,
  524. 19:08Raul, and I think this is the most
  525. 19:10important thing for you and I, we grew
  526. 19:11up and we've traded markets overnight
  527. 19:14and as macro people, it's very tiring.
  528. 19:17It's a young person's business.
  529. 19:20[laughter]
  530. 19:21>> Oh, Japan moved. I got
  531. 19:22>> I'm still scarred by [ __ ] Tokyo in
  532. 19:25the middle of the night. dollar yen
  533. 19:26blowing up. He's like, "Oh god, you're
  534. 19:28woken up." Yeah, that's why I laughed.
  535. 19:31[laughter]
  536. 19:31>> So, and and again, I remember that too,
  537. 19:34like you you go to bed hoping the phone
  538. 19:36doesn't ring, hoping nothing happens.
  539. 19:39Well, think about when it's 247 starting
  540. 19:41this year, and it already has started
  541. 19:43with Iran hyperlquid, with um the SpaceX
  542. 19:46IPO. Like I don't think people realize
  543. 19:49it is not a human being's game to have
  544. 19:5124/7 trading and what that is going to
  545. 19:54mean for stop- losses, emotional
  546. 19:55decisions, no sleep. So I just think the
  547. 19:58disruption is going to come from human
  548. 19:59beings realizing they can't play a game
  549. 20:01that the that the bots can play better.
  550. 20:04>> And how I look at it like a macro level
  551. 20:06and um interesting to hear your views on
  552. 20:08this is let's take an asset management
  553. 20:10firm, an aggregator firm like
  554. 20:12Millennium. So what does Millennium do?
  555. 20:14There's the mother ship which allocates
  556. 20:16capital compliance, you know, all of the
  557. 20:21operational functions and then you've
  558. 20:23got a bunch of pods which is return
  559. 20:28streams of which they're um you know
  560. 20:31there's a quite large diversity. All of
  561. 20:34those essentially become whether it's
  562. 20:36individuals or individuals agents
  563. 20:41and the mother ship doesn't need all the
  564. 20:43the massive infrastructure because
  565. 20:45everything's tokenized. So it it kind of
  566. 20:48changes that entire asset management
  567. 20:50game. And we could do that for
  568. 20:52everything, a pension plan, everything,
  569. 20:54not just a hedge fund. It's the same
  570. 20:56thing. And it completely disrupts the
  571. 20:58whole system and where the fees are
  572. 20:59earned and who earns the fees and how it
  573. 21:01acrs. as you said, it's it's
  574. 21:03deflationary more than anything else
  575. 21:04because the fees are just going to
  576. 21:05collapse.
  577. 21:06>> Yeah. And the great thing for let's use
  578. 21:10Millennium and De Shaw and take ones
  579. 21:12that are much more bot driven already
  580. 21:14and then ones that are using technology
  581. 21:16and AI with inside their business. And
  582. 21:18let's just say um they're the perfect
  583. 21:20places for the AI agents to basically
  584. 21:24dis I don't want to say disrupt their
  585. 21:26business, but they have a story to tell
  586. 21:29and they have a black box. They don't
  587. 21:31give you the details of every single
  588. 21:33thing. They don't go through it. You're
  589. 21:34in a long-term lockup. They have the
  590. 21:36ability of kind of building out the
  591. 21:38agentic side with inside, reducing their
  592. 21:40cost structure dramatically.
  593. 21:42>> Marshall Waste just announced that they
  594. 21:44they've been doing this.
  595. 21:45>> Yeah. And and I think they're the
  596. 21:47natural places to basically do this.
  597. 21:49They have the money to do it. So, they
  598. 21:51already have the technology side. They
  599. 21:52already have all the engineers. So, I
  600. 21:54think they'll be the ones first that are
  601. 21:56actually disrupting everything. They'll
  602. 21:58be competing more with retail, but I
  603. 22:00think you're going to see the rest of
  604. 22:02the business kind of go through this.
  605. 22:03It'll just happen, like you said before,
  606. 22:06it's a merging of two worlds. It's the
  607. 22:08human side merging with the bot side,
  608. 22:10and it's going to happen together. And
  609. 22:12the bigger places have the first
  610. 22:13advantage because they can do it very
  611. 22:15easily and very cheaply.
  612. 22:17>> And what's weird is, you know, people
  613. 22:19hear the term tokenization, but they
  614. 22:22only get so far. Oh yes, equities are
  615. 22:25going to go on chain or oh yes, I can
  616. 22:28get rid of my shitty credit fund by
  617. 22:30putting it on chain and selling it to,
  618. 22:31you know, end customers because I' got
  619. 22:33no buyers. But they don't realize how
  620. 22:36disruptive this is because everything,
  621. 22:38all funds will go on chain, people's
  622. 22:41return streams will go on chain, AI
  623. 22:43agents will go on chain, they all become
  624. 22:45investable and it a velocity of capital
  625. 22:48goes up violently. That's another thing.
  626. 22:51>> Yeah. And so you and I have talked about
  627. 22:54this before and I think we're both on
  628. 22:55the same page as this. Um what I believe
  629. 22:58tokenization will be a year from now is
  630. 23:00a recognition by everyone that um what's
  631. 23:03happening in the stock market right now.
  632. 23:05So I use Nvidia as like the example. Uh
  633. 23:09Nvidia has blown away earnings since
  634. 23:12October of last year. But as of
  635. 23:13yesterday's close and let's just say a
  636. 23:16couple days after their most recent
  637. 23:17earnings, the stock was effectively
  638. 23:20unchanged from October. And when the
  639. 23:22most recent earnings report came out,
  640. 23:24they blew away numbers in a way we've
  641. 23:26never seen before. Um, I mean, the
  642. 23:28street was expecting 44% revenue growth
  643. 23:30for next year and they said it's going
  644. 23:32to be 70. And that was the company, I'm
  645. 23:34sure, handcuffing this like they all do
  646. 23:37to some degree. So, the stock hadn't
  647. 23:40moved. And every earnings report that's
  648. 23:44good now, if you were a trader in the
  649. 23:47late 90s and even the early 2000s, if if
  650. 23:51company beat by that much, you expect to
  651. 23:53get rewarded for it. I don't think
  652. 23:55that's happening anymore. And so I I
  653. 23:58showed on my most recent video that if
  654. 23:59you take Nvidia relative to the S&P,
  655. 24:03it's basically up it's outperformed the
  656. 24:05S&P by I think 40% over the prior two
  657. 24:08years, 26 months. But there was one
  658. 24:11corridor of four months where that
  659. 24:13entire outperformance happened. The rest
  660. 24:15of the 20 months it did nothing. And
  661. 24:19what that tells me is if volumes and
  662. 24:21velocity are going up, the toll
  663. 24:24collectors are going to start making the
  664. 24:26money. Essenth
  665. 24:28of a basis point, a hundth of a basis
  666. 24:30point, and this is where crypto fits in.
  667. 24:33I don't think you can match up
  668. 24:35fundamentals in terms of the narrative
  669. 24:37with the performance anymore. more. And
  670. 24:39so if you can't create alpha by just
  671. 24:41saying this company's going to beat
  672. 24:42earnings and this is going to go through
  673. 24:43the way you could in the past, then I
  674. 24:46think toll collectors are going to make
  675. 24:47the money because it's just a lot of
  676. 24:48spinning your wheels and no one really
  677. 24:50making any money betting on this stuff.
  678. 24:52You get paid as the house by the volume
  679. 24:54and less about this. This is where I
  680. 24:56think it's going over the next few
  681. 24:57years.
  682. 24:58>> Yeah, I think I'm a big believer that
  683. 25:00almost everything will end up being a
  684. 25:02marketplace. So you know even a platform
  685. 25:05like real vision will become a
  686. 25:06marketplace for you know investing in
  687. 25:08people but then at a bigger level if you
  688. 25:10think what do the agents consume? Well
  689. 25:13they obviously consume
  690. 25:15energy and compute.
  691. 25:16>> Mhm.
  692. 25:17>> Um but the other thing they consume and
  693. 25:20people haven't put this two and two
  694. 25:22together is data.
  695. 25:24They need more and more data over time.
  696. 25:27And so that means that an agent-driven
  697. 25:30data marketplace is probably the biggest
  698. 25:32marketplace that will ever exist because
  699. 25:36all information has to be absorbed into
  700. 25:38the beast for it to grow from a AGI to
  701. 25:41ASI, right? There's you have to and so
  702. 25:44it's going to suck in every single piece
  703. 25:46of information that is possibly has some
  704. 25:48informationational value and they'll
  705. 25:50trade at different prices and who gets
  706. 25:52the monopoly on the data, who doesn't,
  707. 25:54and that'll all be a hidden market. We
  708. 25:55won't even see it. There's no prices on
  709. 25:57a screen. It just happens.
  710. 25:59>> Yeah. Luckily for all of us, um it'll
  711. 26:01take such a long time to get to that
  712. 26:04because of the video side, meaning the
  713. 26:06ability of taking in everything that we
  714. 26:08see and comprehend, which is far more
  715. 26:10data than the actual data in a computer
  716. 26:13screen. We're just not at the we're not
  717. 26:17at the data center side of the the video
  718. 26:19side. We don't have pure humanoids
  719. 26:22ability to navigate through everything
  720. 26:23in the street. And it's going to take a
  721. 26:25lot of data. that's going to take a lot
  722. 26:26more compute. Only reason I bring it up
  723. 26:28is um I have started to recognize that
  724. 26:32the merging of these two if it wasn't
  725. 26:34for the compute shortage that we have
  726. 26:36right now relative to the capabilities
  727. 26:39and the acceleration of the intelligence
  728. 26:42uh it would be a much more dystopian
  729. 26:44world. I'm becoming less worried about
  730. 26:46the world merging together because of
  731. 26:48the friction of politics, because of the
  732. 26:50friction of human beings, because of the
  733. 26:52bottleneck frictions of physics. All of
  734. 26:55these things are actually making it more
  735. 26:57comfortable for me that we won't get to
  736. 26:59the point of AGI happening too fast.
  737. 27:02It'll happen. It probably already has
  738. 27:04happened depending on or it already has
  739. 27:05happened depending on your definition.
  740. 27:07But the merging of the worlds of humans
  741. 27:09in this, it's giving us enough time to
  742. 27:10actually think about it and go through
  743. 27:12the thought process while we're worrying
  744. 27:14about how it's going to play out. Uh and
  745. 27:16so I'm I'm getting more comfortable that
  746. 27:18the frictions are good, not bad.
  747. 27:20>> Yeah, I agree. and we're seeing the the
  748. 27:23rise of world models versus LLMs and I
  749. 27:25think the whole thing converges
  750. 27:27>> but you know I'm here in Napa I've
  751. 27:29rented a Tesla and I haven't actually
  752. 27:32driven once I touch the pedal it just
  753. 27:35drives you around you know so a lot of
  754. 27:37it's here already and people don't
  755. 27:39realize it what Google's been able to
  756. 27:40train off video itself there's a lot
  757. 27:43there and then you're seeing there was
  758. 27:45yesterday a I think it was called Atlas
  759. 27:47did you see that there's a video
  760. 27:49generation model I mean these are wild
  761. 27:51now. You cannot tell what's film, what's
  762. 27:53not film.
  763. 27:54>> So, it's you can see all the component
  764. 27:56parts are just
  765. 27:58>> blending together. But you say, as you
  766. 28:00say, I mean, it's a lot of compute and
  767. 28:02we just don't have it.
  768. 28:03>> Yeah, we don't have it. And that's why
  769. 28:05from an investable standpoint, we're
  770. 28:07we're we're never we're not going to get
  771. 28:09to the point that we can overbuild
  772. 28:10because we're just I mean, we might
  773. 28:12short term we could over buy things and
  774. 28:14we could have inventories grow up, but
  775. 28:16we're we're not going to use all the
  776. 28:17compute because we need so much of it
  777. 28:19for everything. And there whenever you
  778. 28:21come up with oh I guess there there will
  779. 28:23be enough compute because we've reached
  780. 28:25this point and you realize no the world
  781. 28:27models and everything else and then when
  782. 28:28you hear how much more compute I just
  783. 28:31think that the part and it was probably
  784. 28:34that I heard speak recently uh who
  785. 28:36you've had on a bunch of times and I
  786. 28:37know you know well where he was a little
  787. 28:40bit more concerned uh and I don't know
  788. 28:45how much of this was the book he wrote
  789. 28:47and how much is actually what he
  790. 28:49believes Humanoids are going to take
  791. 28:51some time and they're the ones that I
  792. 28:54focus a lot of the attention on. Yes, I
  793. 28:56know we will have humanoids. Yes, I know
  794. 28:58by 2030 they might be more than is in my
  795. 29:01head now. But before they're driving
  796. 29:03their own car to the delivery before all
  797. 29:05of these things, politicians and human
  798. 29:08beings have to get comfortable with
  799. 29:09this. And full self-driving is already
  800. 29:11here, but it's not accepted. You don't
  801. 29:13see these cars on the road. And that
  802. 29:15should be the easiest one. That argument
  803. 29:18of less people will die should be
  804. 29:20enough. But because of that, I don't
  805. 29:22know how humanoids don't take a a lot
  806. 29:25longer to be integrated into society.
  807. 29:27>> Yeah. And if you think about how long
  808. 29:29it's taken Elon to train the cars to do
  809. 29:31what they do.
  810. 29:32>> Yep. and he's got to get Optimus out.
  811. 29:34And yes, there's, you know, abilities
  812. 29:36have increased, but they'll only be
  813. 29:38putting specific things first, you know,
  814. 29:40on a factory line or in a service center
  815. 29:43or whatever it is at first because they
  816. 29:46just don't have the compute capacity to
  817. 29:49they have the intelligence because
  818. 29:50they've got the LLMs, but they don't
  819. 29:52have the visual spatial awareness that
  820. 29:55they need to navigate the normal world,
  821. 29:57the human world. So, they have to be in
  822. 30:00restricted environments. They can still
  823. 30:01scale massively there, but as you said,
  824. 30:04we're a long way from robots walking
  825. 30:06down the street, you know, delivering
  826. 30:08coffee in humanoid format. It's already
  827. 30:12happening in, you know, in other robots.
  828. 30:14You see them in streets everywhere now
  829. 30:16delivering stuff. So where where I've
  830. 30:18started this point is really important
  831. 30:20for people to hear when they start
  832. 30:21thinking about the concept of PPI and
  833. 30:25input costs because I've started to
  834. 30:27think more and more about how humanoids
  835. 30:30their their most important function over
  836. 30:32the next 5 years is going to be in
  837. 30:34mines. It's going to be in all parts of
  838. 30:37dangerous jobs related to manufacturing.
  839. 30:39There's no doubt about it. Um China's
  840. 30:41already doing this. if you go look up
  841. 30:43mining and the reason I was doing this
  842. 30:44is because when I get in discussions and
  843. 30:46people go gold or bitcoin I go bitcoin
  844. 30:48every single time and they go well you
  845. 30:50but you believe in gold and I went you
  846. 30:52didn't ask me that if you ask me what I
  847. 30:53think will outperform it's because and
  848. 30:56actually one of the most famous macro
  849. 30:59investors we got into a long discussion
  850. 31:01about this in the last 48 hours so my
  851. 31:04video came out he wanted to talk about
  852. 31:06bitcoin he wanted to talk about
  853. 31:07tokenization but then it migrated and I
  854. 31:09said but don't you understand that if we
  855. 31:12can find more gold and get it easier
  856. 31:14because of humanoids, then the capacity
  857. 31:16of gold goes up. The reason I'm more
  858. 31:18interested in Bitcoin is because it's
  859. 31:19chosen by human beings like gold.
  860. 31:22There's a community of people that
  861. 31:24believe in it, but it's the digital side
  862. 31:26and there's a scarcity element to it
  863. 31:27that is real. He wanted to talk about
  864. 31:30the disruption of hacking and things
  865. 31:32like that. And I got him to the point of
  866. 31:33AI will hack everything that your brain
  867. 31:36can think of, including gold. It will
  868. 31:38hack it. it already has hacked it at
  869. 31:39CERN. It's only a question of can we get
  870. 31:42enough hacking in there to actually
  871. 31:45change the ability of the supply side of
  872. 31:47anything. And he agreed by the time the
  873. 31:50end that you can't pick one and say AI
  874. 31:52is going to hack this but not hack
  875. 31:53something else. So I think humanoids is
  876. 31:55going to have a bigger impact on the
  877. 31:56input cost of commodities and us getting
  878. 31:59us closer to abundance of cheaper
  879. 32:01commodities. So, I I've started to
  880. 32:03believe, especially with things like oil
  881. 32:05and copper and all of these things,
  882. 32:07people might be underestimating how
  883. 32:09we're we're going to grow in these, but
  884. 32:10I don't think it's ever going to go
  885. 32:11parabolic. So, a quick break in your
  886. 32:14regular programming. If you're serious
  887. 32:16about your future, grab my free report
  888. 32:18called Prepare for 2030. I think you've
  889. 32:21got 5 years to make as much money as
  890. 32:23possible, and this guide will help you
  891. 32:25navigate what's coming. The link is in
  892. 32:27the description. Download it now. So
  893. 32:30let's just go back to the bottleneck of
  894. 32:33energy because this is something we all
  895. 32:35need to think through. I agree with you.
  896. 32:38One of the things I think we have a we
  897. 32:40might have talked about this before an
  898. 32:41extended or super cycle here is because
  899. 32:45you can't have the excess because you
  900. 32:47can't build the data centers fast
  901. 32:48enough. And then you got this the
  902. 32:50political weird slant in the US that
  903. 32:53people don't want a data center. I don't
  904. 32:55know what they think data centers are
  905. 32:57apart from just [ __ ] buildings. I
  906. 32:59mean, it's the it's the weirdest thing.
  907. 33:02So, I'd love to hear about the energy
  908. 33:03bottleneck and the US political slant to
  909. 33:07all of this, which I just can't get my
  910. 33:09head around.
  911. 33:10So I my head has gotten to the point on
  912. 33:13this that I'm less I've become much less
  913. 33:16worried about the the data center side
  914. 33:19in terms of it being a political issue
  915. 33:21because it has forced just like um with
  916. 33:25China the way deep sea came out of uh
  917. 33:28innovation I don't think people give
  918. 33:30enough credit to how much the behind the
  919. 33:32meter innovation has been out of control
  920. 33:34in the US for building the data centers
  921. 33:36we have more natural gas than we need we
  922. 33:39have pipelines in many many locations
  923. 33:41that don't have to deal with the the
  924. 33:44data centers. So I think a lot of these
  925. 33:46issues are because data centers were
  926. 33:48going to be built in places that we're
  927. 33:51probably more vulnerable to this and
  928. 33:53since that time since when you start and
  929. 33:55announce a data center and you're going
  930. 33:57to do it somewhere near a town um and it
  931. 34:00takes a year to get going and go through
  932. 34:02all the well since then with Colossus
  933. 34:05and all of the behind the meter
  934. 34:07solutions that have come out I just
  935. 34:08think whether it's taking turbines from
  936. 34:11old airplanes and then turning them into
  937. 34:13gas turbine whatever the case is the
  938. 34:15innovation has been through the roof and
  939. 34:17so I think we've solved let's say the
  940. 34:19the ultimate problem which is we just
  941. 34:21move to areas that are better. Um the
  942. 34:24demand for it still grows exponentially
  943. 34:26but that fits back into the problem of
  944. 34:28if it was able to be built we'd have
  945. 34:31more data centers being built right now
  946. 34:33without the bottlenecks of turbines and
  947. 34:35all these problems. So again I'm going
  948. 34:37to air on the side that we don't want it
  949. 34:38to go too fast. We we I I just think it
  950. 34:41would be a much bigger negative for the
  951. 34:43capital markets. Then you'd really see
  952. 34:44the pressure on the bond market. Um I
  953. 34:46think too much too soon is probably a
  954. 34:48bad thing and we'd probably get an
  955. 34:50overbuild. So I'm going to view the data
  956. 34:52centers again the friction as being a
  957. 34:54positive.
  958. 34:54>> Yeah, I'm of the same route there. So
  959. 34:58what else are you looking at right now?
  960. 34:59What talk when you let's go back to the
  961. 35:01tokenization conversation jumping around
  962. 35:03a bit. So you initially when you came
  963. 35:06into crypto was very you were very
  964. 35:09focused on Bitcoin and you know once it
  965. 35:11becomes understandable it's a very
  966. 35:13>> logical asset. Now when you're seeing
  967. 35:15through the world of tokenization
  968. 35:17where's your head going to here
  969. 35:19>> in what that future world looks like
  970. 35:21because I think that's important because
  971. 35:22a lot of people don't understand this
  972. 35:23because it used to be a world where
  973. 35:25there were like competing things and
  974. 35:27that they're not really anymore.
  975. 35:29No, I I this this journey um and I get I
  976. 35:33think starting as a as a let's say a
  977. 35:36Bitcoin as an asset and a maxi type
  978. 35:38person and just not believing in uh at
  979. 35:44the time in the innovation side and I I
  980. 35:46still have that belief that if you ask
  981. 35:47me over the next 20 years what am I most
  982. 35:50certain of it's that Bitcoin will still
  983. 35:52be here and it will be the best asset. I
  984. 35:54don't know if any of the other tokens
  985. 35:56will still be growing at that point in
  986. 35:59value, but there will be innovations
  987. 36:01along the way. And that's what I've kind
  988. 36:02of come to the conclusion of, and this
  989. 36:03goes for public equities as well. So,
  990. 36:06where I've got with tokenization is just
  991. 36:08the importance of it. I spoke at the New
  992. 36:10York Stock Exchange uh to just a
  993. 36:13grouping of Korean brokers, retail, like
  994. 36:16a hundred of them that were there.
  995. 36:18Tokenization is real. It's going to
  996. 36:20happen. And it is a race. And this is
  997. 36:22one of the things that I recognize that
  998. 36:24I don't hear enough people talk about.
  999. 36:25We all hear about AI as a race and the
  1000. 36:27pressure it's putting on, but I don't
  1001. 36:29think people realize that tokenization
  1002. 36:31and having it in your country, having
  1003. 36:33everything on chain is going to become
  1004. 36:36more critical. So, if you're lagging and
  1005. 36:38you're not onchain and your assets are
  1006. 36:40not there, it hurts your market. It
  1007. 36:42hurts the ability for people to buy it
  1008. 36:44because they're going to be using their
  1009. 36:46wallet. This stuff is all going to
  1010. 36:47happen. It's much cheaper to do. They
  1011. 36:49can invest quickly. the programmable
  1012. 36:51nature of it has become something that
  1013. 36:52I've spent enough time on and just
  1014. 36:54realized the value of it from so many
  1015. 36:55different things, how it should be. So
  1016. 36:58when I've thought about just what a
  1017. 37:00portfolio will look like and the merging
  1018. 37:02of the way old school public equities
  1019. 37:04and debt is with tokenization, the fact
  1020. 37:06that to actually get to tokenization of
  1021. 37:08real world assets, you actually had to
  1022. 37:10get tokenization first of the cash and
  1023. 37:12collateral, you needed money market
  1024. 37:14funds, you needed treasury. So you kind
  1025. 37:16of go through the evolution and you
  1026. 37:18realize, whoa, we're there. and some of
  1027. 37:20the new products. And I think this is
  1028. 37:21because of Robin Hood in particular. I
  1029. 37:24just think Robin Hood is a perfect place
  1030. 37:28for the merging of what's kind of crypto
  1031. 37:31and not kind of crypto. I think they're
  1032. 37:33a perfect middle ground to have the
  1033. 37:36community. They have a I don't know if
  1034. 37:38you've been to any of their events. They
  1035. 37:39have a strong community. Like people
  1036. 37:41love their community and people love the
  1037. 37:43real vision real vision community. Like
  1038. 37:45communities are really important, but
  1039. 37:47having a community where their chain is
  1040. 37:50growing rapidly on the tokenization side
  1041. 37:52in a short amount of time and you're
  1042. 37:53seeing those volumes. I just think
  1043. 37:55people are underestimating the
  1044. 37:56importance of globally people wanting to
  1045. 37:59trade 247 hoping that liquidity is
  1046. 38:02around the clock and that it is being
  1047. 38:04and I think this is all part of the way
  1048. 38:06the world is going to be. So I have been
  1049. 38:08um completely taken taken back by it.
  1050. 38:12Uh, and the questions I'm now getting
  1051. 38:14asked by macro people are really good
  1052. 38:15ones. What happens to the dollar in
  1053. 38:18tokenization? Like that question. I
  1054. 38:20don't know if you've thought about it.
  1055. 38:21It's a great question to have.
  1056. 38:22>> I wanted to raise Let's talk about this
  1057. 38:24for a bit because where my head is at
  1058. 38:26with all of this is there's one country
  1059. 38:29has the most attractive assets in the
  1060. 38:30world right now. It's the United States.
  1061. 38:33The moment you put it on chain, the
  1062. 38:35equity market, it just attracts even
  1063. 38:38more capital. It crowds everybody out.
  1064. 38:41And the dollar is the same because the
  1065. 38:42dollar now goes to the end of the line
  1066. 38:45to the individual when it had to go
  1067. 38:47through the euro dollar markets before
  1068. 38:49that's all gone. So, you know, if I
  1069. 38:51think when people talk about the the
  1070. 38:53collapse of the dollar, whatever, my
  1071. 38:55view has been and the same with Brent
  1072. 38:57Johnson is that it dies of its own of
  1073. 39:00its strength because if you do that, the
  1074. 39:03dollar will be so strong. It's already
  1075. 39:06been strong over the last decade and a
  1076. 39:08half over time, just cyclical. Um, but
  1077. 39:11if you're going to get every investor
  1078. 39:13because why would you bother to invest
  1079. 39:14in you know some European you know
  1080. 39:18whatever it is kind packaging company
  1081. 39:20when you can buy Nvidia it's like it's
  1082. 39:24very hard or SpaceX it's very hard not
  1083. 39:26to attract all of the capital.
  1084. 39:29So I although I agree from a so I've
  1085. 39:34broken this down into two parts. you're
  1086. 39:36you're bringing up the transaction part
  1087. 39:38and the um if people have to invest the
  1088. 39:41the issue is right now uh 75% of the
  1089. 39:45investing dollars of the world via MSCI
  1090. 39:48world are in the US already so from an
  1091. 39:50equity basis they're already there I
  1092. 39:52have viewed um public equities as being
  1093. 39:55an issue relative to entrepreneurs so 10
  1094. 39:59years from now I don't think US equities
  1095. 40:02the growth perspective is going to be
  1096. 40:04the same that way people see them now. I
  1097. 40:06I think entrepreneurs around the globe
  1098. 40:09who use AI of which countries that are
  1099. 40:12poorer in my opinion are adopting AI
  1100. 40:14faster. Um they're using AI faster and
  1101. 40:17the reason is because
  1102. 40:18>> they want to and they have to. And so I
  1103. 40:20know you you remember this. I have
  1104. 40:22viewed the AXI Infinity example
  1105. 40:26>> as something everyone needs to go study
  1106. 40:28and just realize that that that example
  1107. 40:31of how an economy grows virtually. Um,
  1108. 40:34people need to think about that with
  1109. 40:36tokenization in my opinion because I I
  1110. 40:38just I studied that. That's what re
  1111. 40:39originally got me so interested in in
  1112. 40:42crypto the ecosystem was what was
  1113. 40:44happening with Daxi Infinity. The other
  1114. 40:46part of the dollar is control. So from a
  1115. 40:48geopolitical basis, tokenization and all
  1116. 40:50these things, I think the control goes
  1117. 40:52down because of stable coins and all
  1118. 40:54this. So I agree that there's a positive
  1119. 40:56force of the dollar. I think there's a
  1120. 40:58negative force which is the more that
  1121. 41:00everything goes on chain the less
  1122. 41:03control the US has over swift the less
  1123. 41:05the US has control over sanctions and
  1124. 41:07then it just becomes something where
  1125. 41:08over time there's no such thing as a
  1126. 41:10collapse I view everything as dollars
  1127. 41:13will migrate and distribute around the
  1128. 41:15globe and it'll take a while for
  1129. 41:16entrepreneurs to compete with Google but
  1130. 41:18they will they'll compete with everyone
  1131. 41:20so it's a gradual kind of growing of the
  1132. 41:22private entrepreneur market and a
  1133. 41:24shrinking of the enterprise market
  1134. 41:26>> it's the old trend of bundling,
  1135. 41:28unbundling, centralization,
  1136. 41:30decentralization.
  1137. 41:31>> And that's what's happened. I mean, look
  1138. 41:33at what you and I are doing ourselves
  1139. 41:34with AI. We would have hired a company
  1140. 41:37to build these things for us. It would
  1141. 41:38have taken us 6 months, 9 months. It
  1142. 41:41wouldn't been perfect. And then and now
  1143. 41:43we're just doing it on the fly. And
  1144. 41:46that's showing you the direction of
  1145. 41:48travel is that the the the centralized
  1146. 41:52approach in everything is about to go.
  1147. 41:55Now, there's going to be some
  1148. 41:56centralized players. I mean, good luck
  1149. 41:57trying to disrupt SpaceX, but you know.
  1150. 42:00[laughter]
  1151. 42:02>> Yes. But I I agree with you. I I think
  1152. 42:04um AI and and crypto, those are the two
  1153. 42:07most powerful parts of it is they're
  1154. 42:09they are truly decentralizing. They are
  1155. 42:11borderless. It allows people to not
  1156. 42:13think about things the way that we all
  1157. 42:15think about them because of the way we
  1158. 42:16grow grew up. And I already think kids
  1159. 42:18are down that path because of the way
  1160. 42:21things have been with video games, the
  1161. 42:23way things were with every single part
  1162. 42:26of kind of the growth of crypto in 2021
  1163. 42:28and 2022 during COVID. We will all look
  1164. 42:31back on that as the beginning of really
  1165. 42:33this move into the virtual world for the
  1166. 42:35younger generation in a very big way
  1167. 42:37into crypto. I know with my son that's
  1168. 42:39when he first got into it and it drove
  1169. 42:41me into it because I didn't think the
  1170. 42:43metaverse made sense other than the fact
  1171. 42:45that I watched him play video games and
  1172. 42:46he was already in the metaverse in 2016
  1173. 42:49um and this was just another extension
  1174. 42:51of it. So we forgot all those things. I
  1175. 42:53know you're heavy into NFTTS. NFTs fit
  1176. 42:56into that as well. I just think that um
  1177. 42:58it will take some change. But the one
  1178. 43:00thing that has always lasted with all
  1179. 43:02human beings regardless of their age at
  1180. 43:04the end of the day if nothing is growing
  1181. 43:07except for the digital world and people
  1182. 43:08will invest in the digital world. That's
  1183. 43:10it. Like it if if you want growth in
  1184. 43:12investing that's where you'll be. So I I
  1185. 43:14tell you I just I was just thinking this
  1186. 43:16morning was a great example of how the
  1187. 43:18world has changed so much. So I've built
  1188. 43:20this kind of huge GMI portal within Real
  1189. 43:22Vision that has charts and analysis and
  1190. 43:25AI compression to make sense of it all
  1191. 43:28all of this stuff and you know across
  1192. 43:29the different tiers and my AI checks the
  1193. 43:32inbox the bugs at
  1194. 43:33globalmicroinvestor.com
  1195. 43:35and it pinged me this morning said a
  1196. 43:36couple of really good ideas in there um
  1197. 43:39that um people should be able to go
  1198. 43:41around all these dashboards and tick
  1199. 43:43their favorite charts and it should
  1200. 43:45create a new page with their favorite
  1201. 43:46charts and whatever. I said it's a great
  1202. 43:48idea. let's build it. And I from getting
  1203. 43:51that email to shipping it to everybody
  1204. 43:56was 40 minutes of which I wasn't doing
  1205. 43:58anything apart from occasionally talking
  1206. 43:59into my whisper and it's launched on
  1207. 44:01real vision and I'm like holy [ __ ]
  1208. 44:04Imagine what that would be like before.
  1209. 44:06You'd have to call up the company. You'd
  1210. 44:08have to have meetings with them. You
  1211. 44:09know, I want to develop this. they come
  1212. 44:11back and you dis I mean the collapse in
  1213. 44:14time and cost of developing stuff is
  1214. 44:18stupid.
  1215. 44:20>> Yeah. and obviously uh learning and
  1216. 44:23that's really been my that's been my big
  1217. 44:27thing has been how quickly I can learn a
  1218. 44:29particular topic because of YouTube
  1219. 44:32because of uh the ability of going into
  1220. 44:36X and now not having to search and not
  1221. 44:38know what's there but actually going to
  1222. 44:39go and say give me the best posts on
  1223. 44:42this particular topic and have it give
  1224. 44:44it to me using and creating a knowledge
  1225. 44:46brain and connecting into the YouTube
  1226. 44:48API and creating the last 20 um video
  1227. 44:53transcripts of Jensen Yuang or of Raul
  1228. 44:56Pal or whomever and then to really get
  1229. 44:58through this it has gotten to the point
  1230. 45:00where since I launched my subscriber
  1231. 45:03side and I get so many questions
  1232. 45:05>> I don't want to give people the answers
  1233. 45:07I want to give them basically the
  1234. 45:09ability of doing it themselves and so my
  1235. 45:11my thought has been empowerment and with
  1236. 45:13Grockbot it hit me so hard when I
  1237. 45:16started to use it and so this you know
  1238. 45:17the past week I'd had so many people
  1239. 45:19reach out after a video where I showed
  1240. 45:21them all my agents like should
  1241. 45:23[clears throat] I really get started?
  1242. 45:24And I literally said, "Here's the deal,
  1243. 45:26guys. I'm going to give you a five-page
  1244. 45:27thing that all you have to do is
  1245. 45:29literally paste this into Grockbot. You
  1246. 45:31will have your chief of staff. You will
  1247. 45:32have different components of it. He will
  1248. 45:34set up all the agents and then you can
  1249. 45:36just start conversing. And all you got
  1250. 45:37to do is copy paste, copy paste, copy
  1251. 45:39paste, let it go through its thing. And
  1252. 45:41by having the ability of having a
  1253. 45:44YouTube that gets enough people, having
  1254. 45:46subscribers and getting through it, your
  1255. 45:47your point's valid. It's like I I'm
  1256. 45:50trying to empower people to make sure
  1257. 45:51they use AI and to feel like they're
  1258. 45:53growing, but the ability of not only
  1259. 45:54giving them answers, giving them
  1260. 45:56homework to do on their own and then
  1261. 45:57realizing that the amount of people have
  1262. 45:59reached out saying, "I never thought I
  1263. 46:01could do any of this type of stuff." You
  1264. 46:02know how empowering because I remember
  1265. 46:03when you came to my office and you asked
  1266. 46:05me a question about how I was using it
  1267. 46:07and you're like, "Oh my god, we I got to
  1268. 46:09do that, too." And we were kind of
  1269. 46:11exchanging information on how we were
  1270. 46:12using it. So having a community
  1271. 46:14community of of empowered users is just
  1272. 46:17great.
  1273. 46:18Yeah. And but so many people have this
  1274. 46:21fear barrier. It's like and Grockbot is
  1275. 46:24really good because you can just in very
  1276. 46:26natural language say, "Hey, read my X
  1277. 46:28feed and tell me what I've missed on AI
  1278. 46:33every day and give me a summary." And it
  1279. 46:35just does it. You don't It just says,
  1280. 46:36"Oh, do you want me to connect to this?"
  1281. 46:37And you go, "Yes, yes, yes. Done." You
  1282. 46:40don't have to do anything. No, it's um
  1283. 46:44it it as far as I'm concerned um other
  1284. 46:47than see chat GBT all you had to do was
  1285. 46:50kind of do what you did in Google search
  1286. 46:52and it didn't take much learning.
  1287. 46:55this this situation where you recognize
  1288. 46:58the power of having people working for
  1289. 47:01you and being able to say, "Hey, put
  1290. 47:04together the newspaper for me of what I
  1291. 47:06care about and have it ready for me at 5
  1292. 47:08in the morning, which I have it do for
  1293. 47:10me in crypto." And then I give it the
  1294. 47:12websites that I wanted to go search on
  1295. 47:14and just give me the most important
  1296. 47:15things, match them up with X, and make
  1297. 47:18sure these are trending stories as well.
  1298. 47:21Like I don't think people realize that
  1299. 47:22like customizing the news that you want
  1300. 47:25have it delivered to you from overnight.
  1301. 47:28It's just a very powerful thing to be
  1302. 47:30able to do using something like that
  1303. 47:31where
  1304. 47:32>> and that's one of the most simple things
  1305. 47:33to do now.
  1306. 47:34>> Exactly.
  1307. 47:35>> It's really not it's really not that
  1308. 47:37complicated. But how do you deal with we
  1309. 47:40we briefly touched on this in the
  1310. 47:41beginning. How do you deal with all of
  1311. 47:43having all of the agents and all of the
  1312. 47:45scheduled tasks and all of the things?
  1313. 47:47cuz I find if I'm not careful, it's like
  1314. 47:49two hours of my morning is fixing [ __ ]
  1315. 47:51that didn't happen. The Google Drive
  1316. 47:53connector went down, this happened, and
  1317. 47:55then I've spent the last two days
  1318. 47:57working with my COO to go and
  1319. 47:59automatically fix all this stuff. And
  1320. 48:01then that doesn't it's like it's not
  1321. 48:03it's not simple all the time.
  1322. 48:06>> Well, Open Claw was what you described
  1323. 48:09to me was what I went through with
  1324. 48:10OpenClaw. Eventually, Hermes exact same
  1325. 48:12thing. So whenever anyone says this is
  1326. 48:15perfect, it it was never perfect ever.
  1327. 48:18Um you had to deal with errors that
  1328. 48:20would pop up and you did have to deal
  1329. 48:21with your computer, you know, and true
  1330. 48:24story, uh cleaning lady comes over and
  1331. 48:28[laughter] closes my my my
  1332. 48:31laptop and all of a sudden I'm like,
  1333. 48:32"Wait, where's my agent?" And I'm like
  1334. 48:34asking him, there's nothing going on and
  1335. 48:36I I can't get anything. Now I don't have
  1336. 48:38to deal with that with Grockbot. And so
  1337. 48:41it still makes errors, but I've only
  1338. 48:44been using it for less than whatever 3
  1339. 48:46weeks. And it's not perfect. But I will
  1340. 48:50tell you the ability of going in and
  1341. 48:52signing into my actual log on on Twitter
  1342. 48:54and it being able to go through my lists
  1343. 48:56of stuff is very powerful to do that
  1344. 48:59with anything that I want software-wise
  1345. 49:01and have it on a virtual computer that
  1346. 49:03it's going in. It does a lot of things
  1347. 49:06where I think the more important thing
  1348. 49:08is the getting used to it, knowing how
  1349. 49:10to use it, what it can be good for, and
  1350. 49:12that way when it actually gets better,
  1351. 49:14which you know it will in a year from
  1352. 49:15now it'll be completely different than
  1353. 49:17it is today. You [snorts] have to
  1354. 49:18develop the brain set of knowing how
  1355. 49:20you'd use it.
  1356. 49:21>> Yeah. But now I've got the problem is
  1357. 49:23I've got agents on Grockbot, agents on
  1358. 49:25Hermes, agents on Claude,
  1359. 49:29you know, and now I need an COO across
  1360. 49:31all of my a [laughter]
  1361. 49:34I've migrated some of my stuff over
  1362. 49:36already, but I don't think I went as far
  1363. 49:40into it as as you did. Um, I I will tell
  1364. 49:44you one of the best things that I used
  1365. 49:47them for is something that I is very
  1366. 49:49similar to my days at Morgan Stanley and
  1367. 49:51at the hedge fund, which was using them
  1368. 49:54as a team of people, calling a meeting.
  1369. 49:55We all get together. I tell the chief of
  1370. 49:57staff, "Let's get together. I have this
  1371. 49:59problem that I want to solve for." And I
  1372. 50:00had a situation last week where the way
  1373. 50:03that I did my videos, um, the company
  1374. 50:05that the software I used basically said
  1375. 50:07they were going out of business on a
  1376. 50:09Wednesday. Now, I do my video recording
  1377. 50:11on a Friday. So,
  1378. 50:14I had to put this together in a
  1379. 50:16completely different way. So, I called a
  1380. 50:18staff meeting and I went in a Grockpot
  1381. 50:20and I literally went through it and I
  1382. 50:22said, "All right, how are we going to
  1383. 50:23solve this problem? What's the best way
  1384. 50:24to get through it?" And I'm telling you,
  1385. 50:27Row, it was literally like being a
  1386. 50:28Morgan Stanley, being a managing
  1387. 50:30director, having everyone come into the
  1388. 50:31room. We got a problem to solve. Let's
  1389. 50:32solve it. And we got to the point and
  1390. 50:35literally it was, okay, you should use
  1391. 50:37Google Slides to do it, which is what I
  1392. 50:39did, ended up doing over the weekend.
  1393. 50:41And in the end, when I asked them, okay,
  1394. 50:44is this going to save me time? And they
  1395. 50:45said, it'll definitely save you time.
  1396. 50:47Now, along the way to learn Google
  1397. 50:49Slides, so it's one thing for them to
  1398. 50:51say, you should use Google Slides. Well,
  1399. 50:52if it's not something I use all the
  1400. 50:54time, I needed them to help me along the
  1401. 50:57way of, okay, will you make sure you're
  1402. 50:59on top of this? Who's the expert on
  1403. 51:00Google Slides? And so that agent I
  1404. 51:02worked with one by one by one until I
  1405. 51:05was able to do it. And it took me, I
  1406. 51:07want to say, a few hours to honestly not
  1407. 51:10be an expert at Google Slides, but now I
  1408. 51:13can do a 100 video slide video. And I
  1409. 51:17was able to do that switch over from a a
  1410. 51:19Wednesday to a Thursday morning. And you
  1411. 51:22know how stressful that type of stuff
  1412. 51:24can be when you're wanting to get
  1413. 51:25something done that you do regularly. So
  1414. 51:28>> it's just it's a it's amazing.
  1415. 51:31I've had many people now ask me I wrote
  1416. 51:33about in GMI actually. I'm like this is
  1417. 51:35what I'm using AI for and this is what
  1418. 51:37I've built and I'm in the middle of
  1419. 51:39building and people are like holy [ __ ]
  1420. 51:42I'm like yeah it's a lot. It's a lot.
  1421. 51:46Now I got a question for you. How many
  1422. 51:48people do you meet?
  1423. 51:50because we're right around the same age,
  1424. 51:52our age. So, straddling the 60 uh area
  1425. 51:56that are not
  1426. 51:59technology people like I always had
  1427. 52:01people working for me. You had people
  1428. 52:02working for me. You didn't need to be an
  1429. 52:03expert. How many people do you meet our
  1430. 52:06age non-technology people that you see
  1431. 52:08using it as actively and in the ways
  1432. 52:10that we are?
  1433. 52:11>> Zero.
  1434. 52:13>> They have to be running a business
  1435. 52:16even then.
  1436. 52:18>> Yeah, you're right. Think of your
  1437. 52:19friends.
  1438. 52:20>> Yeah.
  1439. 52:21>> Your kind of the people you grew up
  1440. 52:22with, not friends that you know from X
  1441. 52:25and this world, but
  1442. 52:27>> even when you go to your trading friends
  1443. 52:29and people who work at hedge funds, they
  1444. 52:32might have an analyst who's using AI to
  1445. 52:34do stuff. Nobody's doing what we're
  1446. 52:36doing. But then everybody, the other
  1447. 52:40group around me, everybody's doing this.
  1448. 52:43But in in the world, in the traditional
  1449. 52:45world, they're not.
  1450. 52:48It's like it's really weird.
  1451. 52:50>> I it's it's impossible for me to
  1452. 52:52describe and and so
  1453. 52:56my business so we've been talking like
  1454. 52:58every 3 months. So I launched my
  1455. 53:01subscriber side in February of this year
  1456. 53:04and the amount of things I put up every
  1457. 53:06week.
  1458. 53:07>> Is that all? It feels like it's much
  1459. 53:08longer.
  1460. 53:09>> No. Well, the YouTube started two years
  1461. 53:11ago. That's right.
  1462. 53:12>> I didn't actually start a subscriber
  1463. 53:14wall until February. And what has
  1464. 53:17happened and this is the most
  1465. 53:18unbelievable thing it forget forget the
  1466. 53:22growth in the community that's great and
  1467. 53:23I appreciate everyone doing I'm more how
  1468. 53:25much work I do a week that gets uploaded
  1469. 53:27to there for them it's anywhere from
  1470. 53:327 to 12 things a week that I build I
  1471. 53:36upload in there these are from code that
  1472. 53:38I write or have built for me they're
  1473. 53:40ideas that I come up with I'm starting a
  1474. 53:43crypto portion that will be part of the
  1475. 53:45site as of the end of this month. And
  1476. 53:47that's why I'm spending so much time on
  1477. 53:49tokenization and I'm built I built out
  1478. 53:51um and and you I don't know if you've
  1479. 53:53done this. I I I have talked to Jamie a
  1480. 53:56bunch of times. We've conver you know um
  1481. 53:59shared information on this but my whole
  1482. 54:01belief has been that if you take an
  1483. 54:02equal weight of the ecosystem of the
  1484. 54:04best
  1485. 54:06tokens covering a diversified in my case
  1486. 54:0910 sectors with inside crypto and you
  1487. 54:12put in any public stocks like circle I
  1488. 54:15even have Robin Hood I have PayPal into
  1489. 54:17this into the different verticals of the
  1490. 54:19merging
  1491. 54:20the correlation between that equal wake
  1492. 54:22basket with Bitcoin is close to one
  1493. 54:25there's not much difference when you go
  1494. 54:27through it. And the reason I wanted to
  1495. 54:28do that is I've said to people, you have
  1496. 54:30to understand from my perspective, the
  1497. 54:32S&P 500 is this amorphous thing. It it
  1498. 54:35doesn't mean anything. It it has
  1499. 54:36innovation that gets rid of the losers
  1500. 54:38and keeps the winners and it changes.
  1501. 54:40And if you believe in hyper competition
  1502. 54:42and hyper speed, that means growth
  1503. 54:44companies will be leaving it faster than
  1504. 54:46they've ever left it before because you
  1505. 54:48will be disrupted. You will be moved
  1506. 54:50out. And we've obviously seen that fears
  1507. 54:52over um the software names and you've
  1508. 54:54seen it even with anthropic and people
  1509. 54:56get worried that their AR has stalled
  1510. 54:58and I do believe that we're in this
  1511. 54:59hyperco competitive world. So my endgame
  1512. 55:02has always been the same which is what
  1513. 55:03Bitcoin ends up representing is the only
  1514. 55:05true scarcity thing of a store of value.
  1515. 55:07So if you're make if your job investing
  1516. 55:09is to pick things that are growing and
  1517. 55:11then they stop growing your job is to
  1518. 55:12get rid of that and find the next
  1519. 55:14grower. Well, while you're looking for
  1520. 55:15the next grower, you need to put your
  1521. 55:17money into a store of value. So, Bitcoin
  1522. 55:19theoretically should equal all of that.
  1523. 55:21And it does. And that's what makes me
  1524. 55:23feel good. And that's what again brings
  1525. 55:25me back to the point of when you're
  1526. 55:27using AI and you're on top of how fast
  1527. 55:29the world is changing. And that Bitcoin
  1528. 55:31is directly related to the disruption
  1529. 55:33from AI. It's related to the fact that
  1530. 55:35in a world of abundance, you need to
  1531. 55:37find things that are truly scarce that
  1532. 55:39people believe in. And there's not many
  1533. 55:41things that are truly scarce that people
  1534. 55:42believe in. There's plenty of things
  1535. 55:44that are scarce right now, but I don't
  1536. 55:46believe they'll be scarce in the future.
  1537. 55:47And that's where it always ends up as
  1538. 55:49Bitcoin ends up being here. And along
  1539. 55:50the way, we pick and choose innovations
  1540. 55:52that we think are going to do well. I
  1541. 55:54think Ethereum will outperform Bitcoin
  1542. 55:56over the next year because of the
  1543. 55:57tokenization boom and the stable coin
  1544. 55:59boom and what we said about the volume,
  1545. 56:01the velocity, and people understanding
  1546. 56:03theoretically Ethereum is a commodity
  1547. 56:05related to the blockchain. And if
  1548. 56:06there's only a certain amount of places,
  1549. 56:08we're going to run into compute. And so
  1550. 56:10I've kind of said to people, it's not a
  1551. 56:11direct relationship, but I view Ethereum
  1552. 56:14because of the trust factor of this
  1553. 56:15merge. And I'd like to hear your because
  1554. 56:17I know you've been into other into
  1555. 56:19Salana in Suie and other places that
  1556. 56:21have gone through. My my belief has been
  1557. 56:23that for the banks and all these people,
  1558. 56:26Ethereum because of its size, because of
  1559. 56:29the time it's been there and because of
  1560. 56:30how difficult it is for people to trust
  1561. 56:32something new, that the trust factor is
  1562. 56:35going to be a very important part of the
  1563. 56:36financial guard rails. And so I've
  1564. 56:37started to accept the fact that I want
  1565. 56:39to be in on top of the innovation
  1566. 56:41related to tokenization. I want to be on
  1567. 56:43top of what's going to happen. But
  1568. 56:45that's where I've kind of gotten to with
  1569. 56:46this whole subscriber thing on this.
  1570. 56:48>> I think we spend far too much time,
  1571. 56:52everybody, in choosing stuff to buy and
  1572. 56:56sell.
  1573. 56:58>> Agreed.
  1574. 56:58>> Really, you could own
  1575. 57:01Bitcoin,
  1576. 57:03the NASDAQ,
  1577. 57:05and probably do nothing else and you'll
  1578. 57:07be fine,
  1579. 57:09>> right? Well, if you want to own a bit of
  1580. 57:10gold, but you got, you know, it doesn't
  1581. 57:12really matter because it's, you know,
  1582. 57:13Bitcoin does roughly the same kind of
  1583. 57:15thing. But, you know, that's all you
  1584. 57:17need to actually do and you never need
  1585. 57:19to turn on your screen again. And in
  1586. 57:21crypto, I've got it down very simply is
  1587. 57:23obviously Bitcoin.
  1588. 57:25Um, I also like the Zcash
  1589. 57:29privacy narrative. So, you have a little
  1590. 57:32bit of that and a big bit of that. Okay,
  1591. 57:34fine. But then you've got the whole
  1592. 57:35smart contract layer, and that doesn't
  1593. 57:36represent it at all. They're correlated,
  1594. 57:38but they're not the same thing. And
  1595. 57:40simply, I just used cloud
  1596. 57:43and other big networks and said, well,
  1597. 57:46there's generally
  1598. 57:47four or five that are dominant and one
  1599. 57:51is more dominant than others. And so,
  1600. 57:52you just look at that and say, okay,
  1601. 57:54well, what are they? Well, the two clear
  1602. 57:56ones right now are Ethereum and Salana.
  1603. 58:00And then you've got others and let's
  1604. 58:02see. Hyperlquid's different because it's
  1605. 58:03it's sort of more of a business built on
  1606. 58:05blockchain. Um, and a lot of the others
  1607. 58:08are businesses built on the technology.
  1608. 58:10You know, what did cloud enable? What
  1609. 58:12did all of these things enable? Um, and
  1610. 58:15that's a harder bet right now because
  1611. 58:17we're still early in the infrastructure
  1612. 58:19bet. So, that's all I just think is like
  1613. 58:21you just buy a basket of, you know,
  1614. 58:23three to five smart contract chains. You
  1615. 58:26can even market cap weight them for now.
  1616. 58:28It's fine. And a bit of Bitcoin and a
  1617. 58:30bit of Zcash and you just don't have to
  1618. 58:32do anything. Or the other level of the
  1619. 58:34portfolio is you just buy some NASDAQ,
  1620. 58:36buy some Bitcoin, buy some ETH, buy some
  1621. 58:39gold and and just don't do anything else
  1622. 58:42for a long time. It's just and we yet we
  1623. 58:45write so much and people want dashboards
  1624. 58:47and business cycles and technical
  1625. 58:49analysis and all of this stuff and
  1626. 58:52actually you don't really need to.
  1627. 58:54>> You weren't going to say stuff. I know
  1628. 58:55what you're going to say.
  1629. 58:57>> [laughter]
  1630. 58:57>> Um, so wait, let's go let's go back then
  1631. 58:59because another common
  1632. 59:01>> by your face you're like, "Yeah, it's
  1633. 59:03true." Um, [laughter]
  1634. 59:04we uh we both love studying the human
  1635. 59:08brain. We both love understanding um
  1636. 59:10psychology, consciousness. So let's go
  1637. 59:13back to what you said at the beginning.
  1638. 59:15Why do you think people do this? Because
  1639. 59:17I agree with you that it's completely
  1640. 59:19unnecessary. So why do you think people
  1641. 59:21do it? I have my own thoughts. I
  1642. 59:25it's a sense of control of agency. It's
  1643. 59:28like you have some control over your
  1644. 59:30financial future. If you have a set it
  1645. 59:32and forget it portfolio, it's like you
  1646. 59:34have no control. It just does it. And
  1647. 59:36yes, it probably works. Um but people
  1648. 59:39feel like
  1649. 59:42they feel a desperate need to get ahead.
  1650. 59:44And we've talked about this before. You
  1651. 59:45know, speculation, prediction markets,
  1652. 59:48sports betting, it's all part of the
  1653. 59:50same trend, which is people don't have
  1654. 59:52enough money. debasement of currencies
  1655. 59:53kind of screwed people over and they
  1656. 59:55want to take control. So, but people
  1657. 59:59turn themselves into knots over this
  1658. 1:00:01stuff. I mean, I see it on the real
  1659. 1:00:02vision platform, you know, that
  1660. 1:00:04desperately searching for a guru or a
  1661. 1:00:06system or a product or a something and
  1662. 1:00:10it's like it doesn't exist, guys. It's
  1663. 1:00:12like the markets are an amalgamation of
  1664. 1:00:14all of us and that's what's in the
  1665. 1:00:17price. Bizarrely
  1666. 1:00:20>> I so I think um
  1667. 1:00:24>> I doesn't mean to say you can't
  1668. 1:00:25outperform or under you know all of that
  1669. 1:00:27stuff you know the GMI track record is
  1670. 1:00:29you know one of the best there's been
  1671. 1:00:30but because that's time horizon really
  1672. 1:00:34but yeah I don't know there's just some
  1673. 1:00:36horrible truth to all of this
  1674. 1:00:38>> so the reason people are willing to put
  1675. 1:00:41100% of their money in
  1676. 1:00:42>> it also doesn't sell newsletters
  1677. 1:00:44>> correct [laughter] that is true well
  1678. 1:00:47See, now we're getting to the different
  1679. 1:00:48side. I'm more So, I've thought about
  1680. 1:00:51why people complain and I live in
  1681. 1:00:53Williamsburg. I see the building chat.
  1682. 1:00:56Everyone complains. Everyone in this
  1683. 1:00:58this place voted for Mandani. Like, it's
  1684. 1:01:01it's a it's a unique place. So, they
  1685. 1:01:02vote for Mandani. They complain about
  1686. 1:01:04how expensive things are, but then I see
  1687. 1:01:07them all traveling to the Hamptons, and
  1688. 1:01:08I see them all going on flights, and I
  1689. 1:01:10see them all spending money. So there's
  1690. 1:01:12some disconnect because they say they're
  1691. 1:01:14poor, but they live in a building that
  1692. 1:01:16costs a lot of money and they're
  1693. 1:01:17traveling all over the place. So I've
  1694. 1:01:20kind of come to the belief that people
  1695. 1:01:22are all looking for the next big thing
  1696. 1:01:24and it's this hope that they found
  1697. 1:01:26something that no one else found and
  1698. 1:01:28they're going to make money and go
  1699. 1:01:29through it because nobody the S&P 500
  1700. 1:01:32you're investing in 500 companies. So if
  1701. 1:01:34you put all of your money in the S&P
  1702. 1:01:35500, you've invested in 500 companies.
  1703. 1:01:39But if someone said, "I have all my
  1704. 1:01:40money in the S&P 500." Like, "Well, you
  1705. 1:01:42should put more in the NASDAQ. You
  1706. 1:01:43should put it here." And by the time
  1707. 1:01:43you're done, it's like, "Well, you've
  1708. 1:01:44diversified into such a level." But if
  1709. 1:01:47you say, "I've invested all my money in
  1710. 1:01:48Bitcoin." People think you're crazy.
  1711. 1:01:50>> And the reason is because it can it will
  1712. 1:01:52be gone. And I view it as being all
  1713. 1:01:54things, but it's compounded.
  1714. 1:01:57You don't need the next big thing. Like,
  1715. 1:01:59it's compounded. To your point, NASDAQ,
  1716. 1:02:01same thing. Why are you searching to
  1717. 1:02:03compound at a higher level than two
  1718. 1:02:05things that if you did them 50/50 have
  1719. 1:02:08compounded at such a high level? If you
  1720. 1:02:10make it a third, a third, a third with
  1721. 1:02:11the S&P 500. Guys, since the Bitcoin
  1722. 1:02:14white paper, you don't need to do
  1723. 1:02:15anything else. You're outperforming
  1724. 1:02:16everything that needs to happen. I just
  1725. 1:02:18think people are never happy. And I
  1726. 1:02:20think we're in this world where it's
  1727. 1:02:22kind of playing out where the you're
  1728. 1:02:24fighting you're you're going upstream
  1729. 1:02:26because you're comparing yourself to
  1730. 1:02:28people that have made so much money and
  1731. 1:02:30it's in this world of assets going to
  1732. 1:02:33the level they are $180 trillion in the
  1733. 1:02:35US of net worth. I think it's this
  1734. 1:02:38mystical thing that people believe
  1735. 1:02:40they're going to they're going to get
  1736. 1:02:41into that 180 trillion by just buying
  1737. 1:02:43something at a penny that'll go up to a
  1738. 1:02:45thousand. It's just not going to happen.
  1739. 1:02:46And I think they should just compound in
  1740. 1:02:48in the things that work like you.
  1741. 1:02:49>> Yeah. And focus on increasing your
  1742. 1:02:51income.
  1743. 1:02:52>> Exactly.
  1744. 1:02:53>> That's the thing that actually makes the
  1745. 1:02:54difference because you have more ability
  1746. 1:02:56to invest. You can dollar cost average.
  1747. 1:02:58You can compound over time. People
  1748. 1:03:00forget that bit. If you if you figure a
  1749. 1:03:04way to just take the compounding and you
  1750. 1:03:06take the NASDAQ, S&P, and Bitcoin since
  1751. 1:03:09the white paper came out and you do a
  1752. 1:03:11third, a third, a third, and you just go
  1753. 1:03:13through and you're like, "Okay, here's
  1754. 1:03:14the compounding number and let's assume
  1755. 1:03:16by going through that it's 33%." And
  1756. 1:03:19you're like, "Okay, if I compounded
  1757. 1:03:2033%," and you go, "Okay, now go do your
  1758. 1:03:23income. compound it at 33% and see where
  1759. 1:03:26you'll be in in in 20 years just by
  1760. 1:03:30taking 20% of that income 15% of that
  1761. 1:03:33income letting it grow and always taking
  1762. 1:03:3515% you'll be shocked at how much money
  1763. 1:03:36you have in 20 years. So here so here's
  1764. 1:03:39a question of our theoretical
  1765. 1:03:41idiot proof portfolio do you rebalance
  1766. 1:03:44because if not you've got 97 98% Bitcoin
  1767. 1:03:49[laughter]
  1768. 1:03:50and I don't believe in rebalancing but
  1769. 1:03:53you've got no diversification now at all
  1770. 1:03:55so the NASDAQ can outperform for five
  1771. 1:03:58years and not move the dial at all
  1772. 1:04:01Bitcoin returns I don't know how to
  1773. 1:04:02think about that
  1774. 1:04:04>> I so when people have asked me and and I
  1775. 1:04:07Guess now that I'm I've been a part of
  1776. 1:04:09the community long enough.
  1777. 1:04:12I've never sold a Bitcoin. I've never
  1778. 1:04:14sold anything in it. And it's just
  1779. 1:04:16amazing. I You haven't either?
  1780. 1:04:19>> No. I
  1781. 1:04:19>> I mean, I've sold I've switched, but
  1782. 1:04:21I've never taken money out of digital
  1783. 1:04:23assets
  1784. 1:04:24>> ever. I've never I've never had a
  1785. 1:04:26transaction that brings money back into
  1786. 1:04:28the bank.
  1787. 1:04:30>> It It's always a bigger number. And part
  1788. 1:04:32of it is appreciation, but part of it is
  1789. 1:04:34as I get more money and I don't I don't
  1790. 1:04:37need to buy anything else in my life. So
  1791. 1:04:38I have what I want. Everything is to me
  1792. 1:04:41about a trip that I want to take or this
  1793. 1:04:43and that. So I'm one of the lucky people
  1794. 1:04:44that's made enough money in life where I
  1795. 1:04:46don't need to go out and spend money.
  1796. 1:04:48I'm I'm not buying more. I I own I own a
  1797. 1:04:50home in Maine. That's it. Like that's
  1798. 1:04:52it. I don't need anything. I have a
  1799. 1:04:55Tesla from 2021. I'm just not a spender.
  1800. 1:04:57I never have been. I just don't care.
  1801. 1:05:01I have no interest in rebalancing
  1802. 1:05:03because I don't need to and I'm not
  1803. 1:05:06thinking about it in that way and I do
  1804. 1:05:08view it as if that money continues to
  1805. 1:05:11grow that's a better life for my kids or
  1806. 1:05:13a better life for me giving away or
  1807. 1:05:15whatever the case is down the road but
  1808. 1:05:17it's something I believe in and I've I
  1809. 1:05:19rode a Substack which I still believe I
  1810. 1:05:21was trained at the racetrack by my
  1811. 1:05:23father I started going to the racetrack
  1812. 1:05:25according to my mother before I can way
  1813. 1:05:28before I can remember but from the time
  1814. 1:05:30that I can remember, which must be, you
  1815. 1:05:32know, four to five years old. He was
  1816. 1:05:34teaching me how to handicap a horse
  1817. 1:05:36race. And I wrote this Substack about
  1818. 1:05:38the greatest odds I've ever seen on
  1819. 1:05:40something and the building of the
  1820. 1:05:43digital asset rails, the belief that AI
  1821. 1:05:46will disrupt the fiat system and that
  1822. 1:05:50more and more people will migrate that
  1823. 1:05:51money over to here, which you believe in
  1824. 1:05:53and I believe in. And it's funny, I
  1825. 1:05:55heard you say because I get asked the
  1826. 1:05:57question all the time, so what's your
  1827. 1:05:59price on Bitcoin? And I go, okay, I'm
  1828. 1:06:01not going to do this anymore, but here's
  1829. 1:06:03what I will do. I think the size of the
  1830. 1:06:05digital asset world will be at least
  1831. 1:06:07hundred trillion. And I do that not as
  1832. 1:06:11like a random starting point, but if
  1833. 1:06:13it's 700 trillion on one side of the
  1834. 1:06:15equation and I believe that that money
  1835. 1:06:17is going to grow over there and it'll be
  1836. 1:06:20a combination of that side either not
  1837. 1:06:22growing or going down to some degree and
  1838. 1:06:25this side growing it it has to get to
  1839. 1:06:27that level. There's no other way that it
  1840. 1:06:29that that can happen. There's it's the
  1841. 1:06:31digital economy and it has to grow that
  1842. 1:06:33way. So when you get back to it and I
  1843. 1:06:35go, well then what do you think? I'm
  1844. 1:06:36like, well, then it gets back to how
  1845. 1:06:37much you think Bitcoin will be as a
  1846. 1:06:38percentage of that number. And if I say
  1847. 1:06:40it'll never go below 33%, which is what
  1848. 1:06:42I believe, then I can come up with a
  1849. 1:06:44number that I can make an argument
  1850. 1:06:45towards. Um, that's the way I think
  1851. 1:06:47about this whole thing and kind of the
  1852. 1:06:49migrate. And it's always funny that you
  1853. 1:06:50and I um trained in a similar way,
  1854. 1:06:53thinking of markets in a macro
  1855. 1:06:54perspective, completely different in
  1856. 1:06:57terms of the way we kind of I'd say get
  1857. 1:06:59to the end game. We end up with similar
  1858. 1:07:00numbers.
  1859. 1:07:02But the the thing I think we both
  1860. 1:07:04appreciate the most is, you know, the
  1861. 1:07:06most exciting time of our entire career
  1862. 1:07:11is now. And we've gone through all
  1863. 1:07:13sorts. We've seen some really amazing
  1864. 1:07:15stuff. And now it's like this is I mean
  1865. 1:07:18the most
  1866. 1:07:20concentrated you've ever had to be.
  1867. 1:07:23Diversification kind of means nothing at
  1868. 1:07:25this. And it's the most exciting time to
  1869. 1:07:29be alive and to be part of this is
  1870. 1:07:30amazing. and to help people in their
  1871. 1:07:32journey as well of this is really
  1872. 1:07:34special. Can
  1873. 1:07:35>> can can you imagine um if you would have
  1874. 1:07:38said five years ago the S&P will be
  1875. 1:07:40growing uh 33% job hiring will be zero.
  1876. 1:07:46Profit margins will be going parabolic
  1877. 1:07:48not just in the US but globally.
  1878. 1:07:52We'd be having a cancer vaccine come
  1879. 1:07:54out. we'd be you can go through
  1880. 1:07:57>> talk about that
  1881. 1:07:58>> and
  1882. 1:08:00people would be worried about whether 10
  1883. 1:08:02year yields are five and three/4ers or
  1884. 1:08:045.8% or 5.9%. Like I just I think the
  1885. 1:08:08social media world I think the it's too
  1886. 1:08:10good it can't possibly be this good. I
  1887. 1:08:12didn't think I would feel this good at
  1888. 1:08:14I'm going to be 60 years old in March. I
  1889. 1:08:16didn't think I'd feel this good at this
  1890. 1:08:17age. I didn't think I'd be able to work
  1891. 1:08:19out every single day and think about
  1892. 1:08:21anti-aging and going through this. So I
  1893. 1:08:23just I'm I I agree with you. It's the
  1894. 1:08:25best time, the most enjoyable time, and
  1895. 1:08:27I'm learning more than I've ever learned
  1896. 1:08:29in my life. So, I feel younger in almost
  1897. 1:08:31every way I can possibly be younger.
  1898. 1:08:33>> Fantastic, Jordi. As ever, my friend,
  1899. 1:08:35fantastic conversation, and I always
  1900. 1:08:37look forward to our next one.
  1901. 1:08:39>> Same here, Raul. Get get Nappa.
  1902. 1:08:42>> And don't forget to pre-order my book,
  1903. 1:08:45>> of course. What's the name of it?
  1904. 1:08:47>> The Everything Code, because it's
  1905. 1:08:48actually written with AI. It's the first
  1906. 1:08:50major book that a major publisher, so
  1907. 1:08:53it's Pam McMillan. um and Haramman
  1908. 1:08:56House, they trained their AI on all of
  1909. 1:09:00my content and I gave them content and
  1910. 1:09:04then they built the narrative of the
  1911. 1:09:05book and I helped craft it with the
  1912. 1:09:07editor.
  1913. 1:09:08>> But it was it collapsed the the time to
  1914. 1:09:11write a proper book from you, however
  1915. 1:09:13long to, you know, a much shorter period
  1916. 1:09:16of time. It's been an amazing thing. So
  1917. 1:09:17anyway, so they
  1918. 1:09:18>> you're not worried you're not worried
  1919. 1:09:19about the Wall Street Journal and and
  1920. 1:09:21and the drug uh AI oped fiasco. You're
  1921. 1:09:24not worried about that. At least you're
  1922. 1:09:26disclosing it. So
  1923. 1:09:27>> well, the whole thing is disclosed as
  1924. 1:09:28this is the first book ever done this
  1925. 1:09:29way [laughter]
  1926. 1:09:30>> and it's written by me. It's all my
  1927. 1:09:32content and you know crafted. But yeah,
  1928. 1:09:34it's it's let's see how it goes down. Be
  1929. 1:09:37interesting. But it's the first one.
  1930. 1:09:38>> I'm looking forward to it. I obviously
  1931. 1:09:39have seen the everything code. I I've
  1932. 1:09:42probably listened to more podcasts with
  1933. 1:09:44you talking about it and I I believe
  1934. 1:09:47that hearing this hearing a person talk
  1935. 1:09:49about the same thing multiple times, I
  1936. 1:09:51always absorb more because there's
  1937. 1:09:52something either I missed or something
  1938. 1:09:54that went through. So, I will certainly
  1939. 1:09:55get the book. [laughter]
  1940. 1:09:57>> All right, my friend. Well, good to see
  1941. 1:09:58you as ever and I'll see you soon.
  1942. 1:10:00>> See you soon.
  1943. 1:10:02>> Well, another great conversation with
  1944. 1:10:04Jordi. Now remember, if you want to
  1945. 1:10:07carry on the conversation with me about
  1946. 1:10:09any of my content, any of the videos,
  1947. 1:10:11any of the conversations, or my
  1948. 1:10:13investing frameworks, just go to
  1949. 1:10:15ralpal.ai and you can talk to me in my
  1950. 1:10:18own voice and that's trained on all of
  1951. 1:10:21the information that will help you in
  1952. 1:10:23your journey. So see you there. Token
  1953. 1:10:272049 Singapore, the world's largest
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  1955. 1:10:31Sands on the 7th of 8th of October. On
  1956. 1:10:34stage will be myself, Jeff Yan from
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  1958. 1:10:38Market, and the Real Vision community
  1959. 1:10:40gets 10% off tickets. Claim yours using
  1960. 1:10:43the link below. See you there. So, you
  1961. 1:10:46obviously like this video enough that
  1962. 1:10:48you've got to the end. That's quite a
  1963. 1:10:49big task, but listen, do me a favor. Hit
  1964. 1:10:52the like and subscribe button and also
  1965. 1:10:54check out what videos next because I
  1966. 1:10:56think you'll love it. But if you want
  1967. 1:10:57even more, and when I'm talking more,
  1968. 1:10:59I'm talking about memberergenerated
  1969. 1:11:01ideas, incredible alpha research,
  1970. 1:11:04everything there to help you in your
  1971. 1:11:05journey, just head to realton.com/join
  1972. 1:11:08for the best financial intelligence out
  1973. 1:11:10there and the pure alpha that's within
  1974. 1:11:12the platform.

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