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Are Rates and Breadth Warning About a Bankpocalypse Crash — Transcript

by Jordi Visser · 10,588 words · 1,510 segments · language en · Watch on YouTube

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  1. 0:00back for another week. Um, this is a
  2. 0:04long one in terms of slides. So, I'm not
  3. 0:06going to spend a lot of time on any one
  4. 0:08slide. Uh, just to make sure that I can
  5. 0:10do this hopefully in uh, less than an
  6. 0:13hour. So, this is the speed round. So,
  7. 0:15you guys can pause here and go look at
  8. 0:17the agenda for the week if you would
  9. 0:18like. Uh, in terms of disclosures, I
  10. 0:21really want you to highlight on this. Um
  11. 0:23I appreciate all the subscribers that
  12. 0:25are reaching out and are thanking me for
  13. 0:27the educational side what they're
  14. 0:28learning particularly as we move into
  15. 0:30something critical that very few people
  16. 0:32understand which is personal AI agents
  17. 0:35from the consumer agent side it is a
  18. 0:37need for everyone to use them and at the
  19. 0:39same time the educational side on the
  20. 0:41crypto which is going to become as in my
  21. 0:43opinion the people that spend the time
  22. 0:45on it now today for the next two months
  23. 0:47are going to have a huge advantage from
  24. 0:49an investment standpoint over the course
  25. 0:50of the next year. It was a big week for
  26. 0:53me in terms of putting things up for the
  27. 0:55subscribers. This I put up 13 different
  28. 0:58things including three. This will be the
  29. 0:59third video. Uh for those of you who get
  30. 1:02the video, subscribers get it with no
  31. 1:04ads. Not that that's a reason that you
  32. 1:05should subscribe to it, but um doing all
  33. 1:08of this and kind of going through it to
  34. 1:10make sure that the education side is
  35. 1:12accelerating is because of the crypto
  36. 1:14launch, but also because consumer agents
  37. 1:16happen at the same time. So there's a
  38. 1:18new report up on consumer agents there
  39. 1:20because I believe this is as important
  40. 1:22as what we went through in November of
  41. 1:24last year with Opus 4.5 in the beginning
  42. 1:26of the enterprise agents from a token
  43. 1:28perspective. Uh bonds and breath the
  44. 1:33main story. I did a subscriber video
  45. 1:35this week. Uh if you didn't see it you
  46. 1:38should go to the site and pull it down.
  47. 1:40The slide deck is there. I do that for
  48. 1:42all the subscriber videos which means
  49. 1:44you can just go through it. I go through
  50. 1:45the history of bond yields. Uh this is
  51. 1:48being over dramatic. I'm going to go
  52. 1:50through the reasons why. I'm not going
  53. 1:52to take you on the same journey as I did
  54. 1:54in the subscriber one. I'm going to have
  55. 1:55some of the same slides, but I want to
  56. 1:57make sure you you you go through this.
  57. 1:59When you see rates moving up and you
  58. 2:02have breath moving down, not only does
  59. 2:04that make perfect sense, but it is
  60. 2:07insane to me that people are sitting
  61. 2:10there saying that this is going to be
  62. 2:12like the.com bubble. So, I'm going to
  63. 2:14take you through a the reasons why this
  64. 2:16is different, b what things in the
  65. 2:18market you can look for for what will
  66. 2:20warn you. Having lived and traded
  67. 2:22through this when I was already an
  68. 2:24experienced person, I was running the
  69. 2:25S&P options book for Morgan Stanley
  70. 2:27during the do-com bubble, writing an S&P
  71. 2:30side on it. I've been through all of
  72. 2:31this. This is not the same thing. First
  73. 2:34of all, for everyone who's too young and
  74. 2:36for everyone who's too stubborn, uh,
  75. 2:38from the great financial crisis, Lehman
  76. 2:41Brothers right here, to basically the
  77. 2:43normalization of Fed rates after COVID,
  78. 2:46here's what happened. We had basically a
  79. 2:49lost 14-year period where we had
  80. 2:51negative yielding bonds. Negative
  81. 2:53yielding bonds, something that is not
  82. 2:55possible. We had negative yielding
  83. 2:57bonds. So, this period should not count
  84. 2:59when you're looking at a chart. What is
  85. 3:01happening now? If it was this, no one
  86. 3:04would care. But because we're doing this
  87. 3:06with this, everyone freaks out, which is
  88. 3:08just insane to me. So they start writing
  89. 3:10things like, "This is going to take down
  90. 3:11the world. You've never seen this
  91. 3:13before. We have too much debt." As of
  92. 3:16right now, we are not even in the
  93. 3:18midpoint of a normal range for when
  94. 3:20nominal GDP is where it is today.
  95. 3:22Nominal GDP is about 6.5%.
  96. 3:25We should be probably closer to seven. I
  97. 3:29will start worrying about bonds at least
  98. 3:31from being a long-term problem if we
  99. 3:34start getting above seven in a major
  100. 3:36way. It does matter as it goes higher.
  101. 3:39Certain parts of the market starts to
  102. 3:41underperform, but those parts of the
  103. 3:42market have been underperforming for
  104. 3:44years as I'm going to highlight. This is
  105. 3:46why it's a different economy. So, I'm
  106. 3:48not going to go through every single
  107. 3:50thing here, but I do want you to pay
  108. 3:51attention to this part if no other.
  109. 3:54pause and go through every single thing
  110. 3:56or go watch the subscriber video. The
  111. 4:01technology sector including Alphabet,
  112. 4:04Microsoft, Google, Amazon, Nvidia, Meta
  113. 4:06and Tesla which are in different sectors
  114. 4:08and not in the technology. They were
  115. 4:11just barely above 10% and the great
  116. 4:14financial crisis as a waiting.
  117. 4:17They're now 56%.
  118. 4:20This is the main reason why rates don't
  119. 4:23matter compared to back then. So again,
  120. 4:26these companies did not take debt during
  121. 4:29that period. These companies are not
  122. 4:31based on it. Yes, they're taking debt
  123. 4:33now, but it doesn't matter as I go
  124. 4:35through this why it doesn't matter. Uh
  125. 4:37the main point is the economy has
  126. 4:38changed dramatically since then purely
  127. 4:40from that basis. And if you don't
  128. 4:41believe me, in 2015, so not at the great
  129. 4:45financial crisis for GM and the four
  130. 4:48main the four major homebuilders, they
  131. 4:51had revenues of 333 billion in 2015.
  132. 4:55They have 432 for a kagger of just 2.4%.
  133. 5:00They've been sucking wind for the last
  134. 5:02however many years. This is what Nvidian
  135. 5:04Micron had in revenues combined those
  136. 5:05years, 21 billion. Here's Nvidian Micron
  137. 5:08now 535 billion. These names deserve to
  138. 5:12go down when rates go higher. They need
  139. 5:14rates to go down. It should not be a
  140. 5:17surprise. These companies are, it's not
  141. 5:20even a comparison how small they are.
  142. 5:22Their market cap is is smaller than the
  143. 5:24revenue. There's nothing to talk about
  144. 5:26in this. It's a joke. When you add in
  145. 5:30Google, Meta, Apple, Amazon, Microsoft,
  146. 5:32that's another 2.4
  147. 5:34trillion, not in market cap, in
  148. 5:37revenues.
  149. 5:39Here's where they were back then. It was
  150. 5:41actually comparable to some degree. This
  151. 5:43is a completely different economy.
  152. 5:46Anyone that is going before 2015 and
  153. 5:48telling you what happened before then
  154. 5:50because rates went higher is comparing
  155. 5:52it to a time that doesn't exist. If you
  156. 5:54don't believe me there, here are the
  157. 5:55estimates
  158. 5:57for next year's earnings or revenues for
  159. 5:59Nvidia. This is where they're going to
  160. 6:01finish this year. So 410 to 700, let's
  161. 6:03just round it to 300 billion in delta.
  162. 6:07That's the increase that is expected and
  163. 6:10that is based off what Jensen Yuang
  164. 6:12already said. You know the number is
  165. 6:13going to be above it. So we're talking
  166. 6:16about equal to the entire revenues for
  167. 6:19the year for these companies for this
  168. 6:22year. That's how much Nvidia is going to
  169. 6:25increase next year. So when you're
  170. 6:27listening to people tell you this, I'm
  171. 6:29telling you this is a fact. strategists
  172. 6:31who called for a broadening out this
  173. 6:33year are not admitting that they were
  174. 6:35wrong and they're hoping that the market
  175. 6:38crashes so they can get bailed out. This
  176. 6:41is not a guess from me. I've seen this.
  177. 6:43I've jumped into X a couple times this
  178. 6:46week because I find it insane that
  179. 6:48people are not realizing that the market
  180. 6:51cap has changed. 78 companies make up
  181. 6:5456%
  182. 6:55of the market. And these companies are
  183. 6:58nonyclical. They are not hurt by rates
  184. 7:02moving from 5% to 5.3. There are a lot
  185. 7:06of old economy names, not the digital
  186. 7:08economy, the old economy names that are
  187. 7:11basically getting taken out. If you
  188. 7:13don't believe me, financial conditions
  189. 7:14is something every macro strategist
  190. 7:16talks about. From 1971 to 1999, this is
  191. 7:20the fitting of what would happen if
  192. 7:21rates went higher. Financial conditions
  193. 7:23would tighten. Here's what's happened
  194. 7:26since then.
  195. 7:28No change. It doesn't matter. This is
  196. 7:31from 2010 to 2026.
  197. 7:34You want to see it broken out? The 70s
  198. 7:36rates went higher. Tightening in the
  199. 7:38market. Rates went higher. Financial
  200. 7:40conditions. It's not just it's been
  201. 7:42going on since the launch of the
  202. 7:44computer. So, this is something that's
  203. 7:46been happening. If you want to say how
  204. 7:47big the number is, sometimes you just
  205. 7:49got to put it into perspective. Here is
  206. 7:51the combination of year-over-year change
  207. 7:53in 10ear yields plus Fed funds looking
  208. 7:56back over history. So, this is the
  209. 7:58rolling one-year change in basis points.
  210. 8:00Does this really look scary? When you're
  211. 8:02comparing this to 2022, which I will
  212. 8:04repeat, this did not turn into a
  213. 8:06recession. That should be a signal that
  214. 8:07you shouldn't be worried about rates
  215. 8:09here. Look, boom. Did we have Silicon
  216. 8:12Valley Bank end up in trouble here? And
  217. 8:13everyone likes to jump on, oh, let's add
  218. 8:15that to the mix. That wasn't a blip on
  219. 8:18anything. It didn't change economics. It
  220. 8:20didn't change anything. So, why is
  221. 8:22Breath weakening? Well, we had the yield
  222. 8:24curve basically flattening, which is the
  223. 8:27rates way of saying there's more higher
  224. 8:30probability of recession, but really
  225. 8:32this is just a representation of rates
  226. 8:34moving higher because this was
  227. 8:36unfortunately for the market a bare
  228. 8:38flattener. So, we had rates going up
  229. 8:39across the curve. They were just going
  230. 8:41up faster in the short end because we
  231. 8:42were building in more expectations of
  232. 8:44Fed rate hikes. Well, that changed
  233. 8:47dramatically this week because John
  234. 8:49Williams came out and basically said no
  235. 8:51hike in October. We got a weaker PCE and
  236. 8:54then we got weaker payroll data. So,
  237. 8:57breath at some point maybe it'll
  238. 9:00stabilize. I'm not saying expect Breath
  239. 9:02to get much better, but maybe when we
  240. 9:04get through earnings and companies start
  241. 9:06talking how they're not seeing the
  242. 9:07dramatic change, I think that's when
  243. 9:09you'll go because this is a one
  244. 9:10correlation move amongst it. I'll show
  245. 9:12that too. NDX over the S&P.
  246. 9:16Everyone who bail, you know, has been
  247. 9:18worried about the AI trade. Well, NDX
  248. 9:19over S&P is going higher. This is the
  249. 9:21relationship to the S&P. Basically,
  250. 9:24we've been consolidating now in the S&P
  251. 9:26really since June when the AI trade
  252. 9:28broke down and now we're rebuilding it.
  253. 9:30And at some point here, I would expect
  254. 9:32us to go higher. Here's the thing to
  255. 9:34watch. So, as I mentioned during my time
  256. 9:37during the dotcom bubble, this is what
  257. 9:40was going on with staples over the S&P.
  258. 9:43So, as you had breath going down, guess
  259. 9:45what was going on? People were rotating
  260. 9:47away from
  261. 9:50the stuff that was risky and they were
  262. 9:52moving it into the safe names. So, it
  263. 9:55moved in here. But that's not just it.
  264. 9:58Staples over the S&P remained incredibly
  265. 10:01strong for a long time. We are basically
  266. 10:04now going through where tech had a hard
  267. 10:06time during this period. This is all
  268. 10:08during the doc the the iPhone side. So
  269. 10:13staples over the S&P held in and
  270. 10:15everyone was wondering how this was
  271. 10:17possible. And the reason was because we
  272. 10:18had negative yielding debt. And so
  273. 10:21instead of buying bonds, you would buy
  274. 10:22staples or utilities. Well, now Staples
  275. 10:25versus S&P is making new lows.
  276. 10:28You don't believe me? Here's the breath
  277. 10:31from 20 2008 to 2023. And basically
  278. 10:35anytime we had a a breath selloff, which
  279. 10:38is the white line, you'd have staples
  280. 10:41falling relative or you've had staples
  281. 10:43rallying versus the S&P. So this is
  282. 10:45inverted. So again, I I I don't know how
  283. 10:48to say this uh enough for you guys. Uh
  284. 10:51when we get to a point where there's
  285. 10:54something to worry about with breath,
  286. 10:56you're going to see people rotating into
  287. 10:58defensives. I've shown this before. I
  288. 11:00showed this on a subscriber video.
  289. 11:02financials relative to utilities. So
  290. 11:04banks have been very weak. I'm going to
  291. 11:05go through the banks because they're
  292. 11:06going to have a bank apocalypse uh just
  293. 11:08like SAS did and I think we're in the
  294. 11:10early stages of something that'll be
  295. 11:12probably a Q1 story. Um financials
  296. 11:15relative to utilities when this is going
  297. 11:18higher this means growth is good because
  298. 11:20banks which are interest rate sensitive
  299. 11:22and certainly get hurt with credit
  300. 11:24problems. People rotate into utilities.
  301. 11:27So this is a rate situation. Now, equal
  302. 11:31weight tech. We keep hearing how equal
  303. 11:33weight's getting destroyed. No, it's
  304. 11:34not. Equal weight tech made a new
  305. 11:36all-time high today. Uh, equal weight
  306. 11:38tech relative to equal weight S&P, which
  307. 11:42has been going down. Again, these things
  308. 11:44are correlated. So, eventually we'll go
  309. 11:46higher. Tom Mlen basically going through
  310. 11:49the new highs, new lows. This is
  311. 11:51typically a bottoming sign for the
  312. 11:52market. So, is that the way we should
  313. 11:55look at it? Well, I think so because
  314. 11:58look who is making all the new lows. So,
  315. 12:00this is from the compound and friends.
  316. 12:03Uh, big shout out to them because I
  317. 12:05thought this was a great way of breaking
  318. 12:06it down and I listen to those guys a
  319. 12:08lot. Um, chartkidmatt.com.
  320. 12:12You can go get his charts on there. But
  321. 12:14basically showing that staples seeing a
  322. 12:17spike in new lows, utilities having a
  323. 12:19massive spike in new lows. Tech no spike
  324. 12:23in new lows. Financials news that's a
  325. 12:25good growth sign. Um that's how oversold
  326. 12:28we were. So if you take a 14-day RSI of
  327. 12:31breath going back to 1999, actually we
  328. 12:34have data back to 2004. This blue line
  329. 12:37here is 25. So, I wanted to go back and
  330. 12:40look and see, well, how do these things
  331. 12:43do when we hit those levels? Okay. Well,
  332. 12:46here's all the times that the RSI the
  333. 12:48day it hit or broke below 25. So, this
  334. 12:51date, you guys can go back and go look
  335. 12:53the date that we broke it. Here are the
  336. 12:56hit rates going forward. These are the
  337. 12:58returns going forward. Again, I think
  338. 13:01when you look at this stuff and you see
  339. 13:03that breath is usually a bottoming sign,
  340. 13:06uh, rather than something negative, and
  341. 13:09in particular, if you just go look kind
  342. 13:11of at the course of the last whatever
  343. 13:13years, aside from the great financial
  344. 13:15crisis, you're heavily skewed on the
  345. 13:17six-month performance to the upside. Uh,
  346. 13:20this is the reason why strategists are
  347. 13:23bearish. when you make an outlook call
  348. 13:25at the beginning of the year and you
  349. 13:26call for a broadening out trade. I've
  350. 13:27watched a lot of ex people be bragging
  351. 13:29because they were long Europe short the
  352. 13:32US. All of these different things. Well,
  353. 13:34that's completely unwind now because
  354. 13:35rates and oil have gone higher and the
  355. 13:36weak have been basically
  356. 13:38underperforming. But also the AI trade
  357. 13:40continues to defy the doubters. This red
  358. 13:43line here is chat GPT. This is equal
  359. 13:46weight S&P relative to S&P. You are
  360. 13:48talking to someone who believes that all
  361. 13:50equities are vulnerable over the course
  362. 13:52of the next 5 years. But first, we have
  363. 13:53to get rid of all of the small
  364. 13:55businesses that don't supply the
  365. 13:57infrastructure for AI. Yes, I will
  366. 13:59repeat it. We need to get rid of all the
  367. 14:01businesses. They are being replaced by
  368. 14:03AI native businesses, which is I why I
  369. 14:05reach out to you to sign up for my
  370. 14:07service to at a minimum get your kids to
  371. 14:10be using AI. I think I've had a good hit
  372. 14:12ratio now with college kids and my son
  373. 14:14in particular with using the tools that
  374. 14:17I'm showing and how to think about it
  375. 14:18because most of the video I put together
  376. 14:20is done with AI. So here is equal weight
  377. 14:23versus capweight S&P correlated to the
  378. 14:27ISM. So when we got this move higher, we
  379. 14:31were supposed to get a bounce which we
  380. 14:32did. Now if rates had stayed low, I
  381. 14:35think this trade would have continued
  382. 14:36for at least the rest of the year. But
  383. 14:38because rates in oil, and this is what
  384. 14:40sent it down first was oil. Then we got
  385. 14:42the bounce back up, but then we got the
  386. 14:44rate problem and the oil problem. It
  387. 14:46makes perfect logical sense. But those
  388. 14:48names don't matter to the economy.
  389. 14:52BKX close below the 200 day moving
  390. 14:55average. Um, like I said, I think
  391. 14:58there's a bank apocalypse that is
  392. 15:00starting just like I talked about a SAS
  393. 15:02apocalypse beginning in the third
  394. 15:05quarter of last year or the fourth
  395. 15:07quarter. By the fourth quarter, I was
  396. 15:08talking about the fact that the agents
  397. 15:10were here. Well, we have another agent
  398. 15:12move which is personal agents which get
  399. 15:13into crypto which I'll go through. But
  400. 15:16we had our first kind of viral thing
  401. 15:19that Torston Sllock sent out this week
  402. 15:22basically talking about how agents will
  403. 15:24make the logical decision to move money
  404. 15:26and take away the fees that are on
  405. 15:28yields. That is just one part of the
  406. 15:30agentic side. Um I believe and again I'm
  407. 15:34putting all of this in there that you
  408. 15:35will be living and I believe this is
  409. 15:38true and I'll be talking about Joseph
  410. 15:40Chalum. I'll give you guys some
  411. 15:41homework.
  412. 15:43But over the course of the last three
  413. 15:44weeks, I've had multiple conversations
  414. 15:45with people about Mastercard and Visa,
  415. 15:47and they are trying to defend those
  416. 15:49companies. I see zero chance that these
  417. 15:51companies are going to benefit in the
  418. 15:53long run. It's not that they won't
  419. 15:54benefit today and maybe for the next two
  420. 15:56years. A bank apocalypse is not about
  421. 15:58them going out of business, but a bank
  422. 16:00apocalypse is about gradually, just like
  423. 16:02it was with Agentic Coding. We get
  424. 16:05multiple compression. The software names
  425. 16:07are still making money. We've had a
  426. 16:09bounce in a lot of them. They are not
  427. 16:11out of the woods. I do not see them as
  428. 16:13being anything but on a perma bare
  429. 16:17market invaluation. And I think banks
  430. 16:20are now going to go through the same
  431. 16:21thing as I highlight here is what has
  432. 16:24happened since crypto or since uh we got
  433. 16:28the release of Grockbot.
  434. 16:30This is the my 46 token index which is
  435. 16:34the crypto ecosystem relative to the BKX
  436. 16:39going down going down bare market then
  437. 16:42all of a sudden we get the bounce
  438. 16:44instinct AI launches their beta version
  439. 16:46then we get Muse the crypto rails this
  440. 16:48is the way I go through things guys I
  441. 16:50bring you facts on what's happening when
  442. 16:52they started and try to connect them
  443. 16:54back two-year rates during that period
  444. 16:57have gone straight up normally crypto
  445. 16:59gets thought of in liquidity terms. I've
  446. 17:01debated everyone in Bitcoin about the
  447. 17:04debasement trade and liquidity as being
  448. 17:07the story. It certainly started the move
  449. 17:10when we got Bessant coming in in in
  450. 17:13August, but then we got Worsh moving
  451. 17:15higher. So, you've had a change, but
  452. 17:17here's the thing that matters. Cryptos
  453. 17:19held in there while rates have gone
  454. 17:21higher and not a little bit. We brought
  455. 17:23in Fed rate hikes, multiple ones. Here's
  456. 17:25the way gold reacted. So, gold broke
  457. 17:27down. If this was the basement then
  458. 17:30Bitcoin would have followed it. The
  459. 17:31crypto side would have followed it. The
  460. 17:32reason it's not following it is because
  461. 17:34we have a different stage. We have the
  462. 17:35agents coming.
  463. 17:37Clearly Bessant wants rates to go lower
  464. 17:40or at least to do something different.
  465. 17:42So I think the Zervos higher was
  466. 17:44absolutely uh another warning shot about
  467. 17:47hey we don't want rates to get higher.
  468. 17:48We don't know how we're going to get
  469. 17:49them down. We're going to do something.
  470. 17:51Then you get John Williams coming out.
  471. 17:53There's no need for urgency. Then you
  472. 17:55have the buyback in terms of getting the
  473. 17:57six billion. You get the reaction day
  474. 17:59one and then of course it turns the
  475. 18:01other direction. Um here's where we are
  476. 18:04for the week with all of that going on.
  477. 18:05The S&P continues to have a beautiful
  478. 18:07looking breakout chart at some point
  479. 18:09consolidating these gains. While the
  480. 18:11breath has been horrible. I showed you
  481. 18:12the oversold signal. The fact that the
  482. 18:15breath has been so weak, rates went up
  483. 18:18and now we've had a situation where
  484. 18:20we're going to have a pause on this
  485. 18:22stuff. So, I think at some point here
  486. 18:25we're going to break higher, especially
  487. 18:26since the NDX made new all-time highs
  488. 18:28today. And that chart looks very similar
  489. 18:30to the S&P. It just looks like it broke
  490. 18:31out. Equal weight uh tech, same thing.
  491. 18:35Here's the frustration for people. I
  492. 18:37hear this from many, many macro
  493. 18:38podcasts. They want a trend. There's no
  494. 18:41trend. This is copper. Obvious trade.
  495. 18:43Can't make any money. I already showed
  496. 18:44you gold. Can't make money. Everyone who
  497. 18:46had the anti- I want to be long crypto
  498. 18:49or AI trades. That's the problem, guys.
  499. 18:51If you've been fading crypto and saying
  500. 18:53I want to be long gold, I don't want to
  501. 18:54be long crypto. Sorry, you're losing. If
  502. 18:56you said, I want to be long uh
  503. 18:58commodities because this is the trade
  504. 19:01for both the debasing side, but it's
  505. 19:03also the trade for uh the buildout, the
  506. 19:06infrastructure side. That's not working.
  507. 19:09Nobody wants to be long the AI stuff
  508. 19:11because they're scared. Here's the
  509. 19:12dollar. Pain, pain, pain, pain. I mean,
  510. 19:16basically a year of pain.
  511. 19:18And yet, here's the AI trade. Started
  512. 19:21here, consolidation, everyone freaks
  513. 19:23out. We get situational awareness, and
  514. 19:25now we're just going right back to the
  515. 19:27same old story. Um, my constant. So,
  516. 19:30that was my 100name portfolio. Here is
  517. 19:33the 10 name concentrated one. I just
  518. 19:35wanted to show you guys like it worked
  519. 19:38almost every day, came back, and since
  520. 19:40then, it's gone right back up, and it's
  521. 19:43now up 106% for the year. State of the
  522. 19:46Markets from Andre Horowitz in terms of
  523. 19:49AI. Definitely worth the read. I'm only
  524. 19:51going to show you some of the slides. If
  525. 19:54you're long the tech earnings,
  526. 19:58I mean, this is pretty much what I was
  527. 19:59showing you guys, but like this is what
  528. 20:01you want to be long, not call it a
  529. 20:03bubble. You call it a bubble and you go,
  530. 20:04I've seen this before with the dot
  531. 20:06bubble, you're paying the price. Because
  532. 20:07I've been hearing that now for two
  533. 20:08years. I can bring up the videos that I
  534. 20:10was doing in 24 or 25. Yeah, 24. And
  535. 20:13show you guys the bubble talk. Here's
  536. 20:15what you're investing in if you're
  537. 20:16playing for anything but that. This is
  538. 20:18the reason Breath is so bad is because
  539. 20:20the earnings are just not there for home
  540. 20:22builders and autos and staples which are
  541. 20:24getting disrupted by AI especially as
  542. 20:27people are going to live longer. They
  543. 20:29have OMIC. Every single trade is a
  544. 20:32disruption trade. The alpha is on
  545. 20:33shorting the 440, not being
  546. 20:38ignoring the fact that they're going
  547. 20:39down and thinking it's going to take the
  548. 20:40entire economy down. um reports of
  549. 20:43obsolescence on chips. So, every time
  550. 20:45you hear someone talk about GPUs, and
  551. 20:47this is all through uh I guess two weeks
  552. 20:50ago, every single chip from Nvidia
  553. 20:54continues. There's supposed to be in
  554. 20:56decline, guys. When it once it comes
  555. 20:58out, it's like a car. It's supposed to
  556. 21:00depreciate because there's a better one
  557. 21:02the next day. This is what they talked
  558. 21:04about in terms of the opportunities
  559. 21:06coming up. The reason I want to show
  560. 21:07this, more tokens, more tokens, more
  561. 21:10tokens, more tokens. Every one of these
  562. 21:14means a lot more tokens.
  563. 21:17And then we get Micron this week.
  564. 21:20Everyone wants to fade Micron. the
  565. 21:22amount of crap I got when I said I
  566. 21:24bought started buying it back in the
  567. 21:26800s from people and I said I wanted to
  568. 21:29be involved because I thought it would
  569. 21:30go higher over the course of the next
  570. 21:32year and I was prepared to build a
  571. 21:34sizable position if we went back towards
  572. 21:36500. Uh but we never did. We just sat
  573. 21:40there. It's not a huge position for me.
  574. 21:42It's not as big as Marll or Nvidia, but
  575. 21:45I'm still in it and it's not as big as
  576. 21:47crypto. But I mean the revenue jumps
  577. 21:4911fold as you go through.
  578. 21:53We do not see line of sight when supply
  579. 21:56catches up with demand because the
  580. 21:57demand trends of larger models, growing
  581. 21:59context, more concurrency, greater
  582. 22:01agents across enterprise and consumer
  583. 22:04only continue to drive greater need for
  584. 22:05memory.
  585. 22:08AI is moving to the edge.
  586. 22:11Physical embodied AI. They're seeing
  587. 22:13their first deployment of physical AI
  588. 22:15and autonomous vehicles. Why does it
  589. 22:18consume so much memory? The magnitude of
  590. 22:21the increase, the human. These are all
  591. 22:23quotes from the earnings call. You're
  592. 22:26crazy if you don't believe that the
  593. 22:28compute needs are growing. Another part
  594. 22:30of the 100 thematic infrastructure
  595. 22:33portfolio is a company called Rogers in
  596. 22:36the chemical side. I think it's a really
  597. 22:38important one. They had an investor day.
  598. 22:41So, it wasn't earnings, it was an
  599. 22:42investor day, and they took their
  600. 22:45numbers up. This was a step up function,
  601. 22:47a massive move. Um, basically from $3 to
  602. 22:5114. So when you go through this, and I'm
  603. 22:54not going to read all of these because
  604. 22:56again, this is a long thing I've got
  605. 22:57here. We're getting into Reuben time
  606. 23:00where everything is about efficiency and
  607. 23:02watts, which is why Marllin,
  608. 23:05go look what these names did this week.
  609. 23:08Our internal target is higher than that
  610. 23:10in terms of what they're talking about
  611. 23:13in needs. Here is for you guys the
  612. 23:17because it was a step up and I love
  613. 23:18stepups. And then I go, well, if they're
  614. 23:20stepping up and they're having supply
  615. 23:22issues, there's tons of places to go
  616. 23:24look. Here you go. For those of you who
  617. 23:26are not subscribers, don't say I didn't
  618. 23:28give you anything without subscribing.
  619. 23:30There's a bunch of names on here that
  620. 23:32you guys can go look at. These are the
  621. 23:35names that connect back to Rogers on the
  622. 23:39work that I've done over the course of
  623. 23:40the last two years in my writings. So
  624. 23:43all I do for those of you who are
  625. 23:44subscribers whenever this happens upload
  626. 23:47all of my work that you have saved or
  627. 23:49just put it in one folder in anywhere
  628. 23:52have co-work go into the folder and only
  629. 23:55use that data and go out of the hundred
  630. 23:57names take what Rogers did and connect
  631. 23:59it back and show me what'll have an
  632. 24:01important side. So again the packing
  633. 24:03compl the power density the heat density
  634. 24:05we're starting to get into the point
  635. 24:07where heat matters. Most great
  636. 24:10investments begin in discomfort. This is
  637. 24:12when we start to segue to the consumer
  638. 24:13agents and into crypto. Um,
  639. 24:19I basically included this part. So, this
  640. 24:21is from Howard Marx. Um, and I wanted to
  641. 24:24show this just because last year when I
  642. 24:27was writing about inference and talking
  643. 24:29about Micron,
  644. 24:31the push back I got was again the
  645. 24:34discomfort people had. Part of it was
  646. 24:35tariffs, but part of it was believing AI
  647. 24:37was a bubble. So every time you say AI
  648. 24:39is a bubble, you've been wrong and it's
  649. 24:41cost you dramatically. So we have a new
  650. 24:44inflection point here. So tokens grew
  651. 24:47dramatically because of inference,
  652. 24:48because of memory, and now we're getting
  653. 24:50into consumer agents, which I'm selling
  654. 24:52you is more demand because we're now
  655. 24:54going to have 8 billion people over the
  656. 24:57course of the next five years using
  657. 24:58personal. It's going to be on your
  658. 25:01phone. Everyone has a phone. They're
  659. 25:03going to have it. Muse is free. So when
  660. 25:07I use Muse, the amount of tokens I'm
  661. 25:09using between Grock and Muse is far
  662. 25:11bigger than any month I've ever used. So
  663. 25:13if you're not using them, great. But I'm
  664. 25:16already causing demand issues. This is a
  665. 25:18paper I wrote in May 15th of 2025. The
  666. 25:21inference inflection, where real time AI
  667. 25:23meets real time opportunity. I want you
  668. 25:25to read this. While everyone was busy
  669. 25:27debating tariffs, AI inference quietly
  670. 25:28had its breakout moment. While markets
  671. 25:30fixated on trade headlines and the daily
  672. 25:33churn of social media noise, think rates
  673. 25:36and breath, a far more important macro
  674. 25:38trend was again meaning momentum. You
  675. 25:40missed AI because of this. Then in June,
  676. 25:45the firework shows over. One of the
  677. 25:47hardest things for investors to
  678. 25:48recognize during an exponential
  679. 25:49technological transition is the
  680. 25:51difference between new information and
  681. 25:52delayed understanding. The Agentic AI
  682. 25:55buildout has just begun. And the reason
  683. 25:56I want to show this, since that period,
  684. 25:58there's been no money to make in AI.
  685. 26:00Now, I'm not saying Micron's not going
  686. 26:02to continue to make you money, but you
  687. 26:04had to go through a 700 point fall, 50%
  688. 26:07fall in the stock, and I think it might
  689. 26:11go up from the peak another whatever it
  690. 26:13was, it was a,000 back then. So, I when
  691. 26:17I wrote this paper, Micron was $98. When
  692. 26:21I wrote this paper, it was over 1,000.
  693. 26:25You don't get windows to wait. So now
  694. 26:28I'm going to take you through the
  695. 26:29educational side. I have a lot of
  696. 26:30podcasts in here. For those of you who
  697. 26:32want to get smarter on the situation, go
  698. 26:35listen to them. Don't just take what my
  699. 26:37summary is in this video. Go listen.
  700. 26:39This young kid here is the founder of uh
  701. 26:43Instinct AI.
  702. 26:46The personal ra the founder argues we
  703. 26:48are entering the largest software race
  704. 26:49in history. Agents replace interfaces.
  705. 26:52Trust becomes everything. I'm going to
  706. 26:54emphasize trust again and again. This is
  707. 26:56the argument that people give for
  708. 26:57Mastercard and Visa. They are wrong,
  709. 26:59wrong, wrong. You want trust, you go to
  710. 27:02crypto, you go to cryptography, you go
  711. 27:04to instant settlement. I will show you
  712. 27:06why. You are wrong if you believe trust
  713. 27:08in the system is there. It takes time.
  714. 27:10And this kid explains trust, not
  715. 27:12intelligence, is presented as the
  716. 27:14biggest bottleneck. And that's because
  717. 27:16of stubborn thinkers. users gradually
  718. 27:18provide more permissions as confidence
  719. 27:20builds, which means as they use it, they
  720. 27:23get less worried about the other issues.
  721. 27:25This will happen with crypto as well. It
  722. 27:27will take time. Everything takes time.
  723. 27:29But when you say this is the way people
  724. 27:31trust, I will show you times where I've
  725. 27:33heard this before and it came to bite
  726. 27:35people big time. Attention economy
  727. 27:37versus the agent economy. This is
  728. 27:39important for people who think that Meta
  729. 27:41and these other places are going to win.
  730. 27:44I think this is going to be a feeding
  731. 27:45frenzy. The Mag 7 used to have their own
  732. 27:48lanes. Now they're going to be fighting
  733. 27:50with each other over the same TAM. I
  734. 27:52think it is very very difficult because
  735. 27:53it's going to depend on what you're
  736. 27:55comfortable with and where you spend
  737. 27:56your attention. And that's why the
  738. 27:57attention economy which is where we've
  739. 27:59had the Mag 7 in different verticals now
  740. 28:02we're going to have it harder and the
  741. 28:04agent economy is very very different and
  742. 28:06businesses must adapt. He talks about
  743. 28:07that product design is becoming
  744. 28:09psychology and that's what I mean. It's
  745. 28:12becoming something that is very very
  746. 28:14challenging uh to deal with. I'm moving
  747. 28:16away from being with my phone because
  748. 28:18Muse is sending me things during the day
  749. 28:20multiple multiple times. I can't even
  750. 28:22tell you how many things I get on Muse
  751. 28:24all day long. The compute problem. This
  752. 28:26is one of the most interesting parts.
  753. 28:28Exponential compute demand. User growth
  754. 28:30compounds daily while proactive agents
  755. 28:32require constant background reasoning.
  756. 28:34Meaning compute demand scales much
  757. 28:36faster than traditional applications.
  758. 28:38The founder explains why buying GPUs
  759. 28:40becomes extraordinarily difficult.
  760. 28:42Infrastructure lead times stretch
  761. 28:44months. This is the most important part
  762. 28:47in there. He's telling you how difficult
  763. 28:50the compute side is.
  764. 28:53They already have 1 billion annualized
  765. 28:55transaction volume. Think about that.
  766. 28:57We're at the point where commerce is
  767. 28:59happening. 50% of that volume is travel.
  768. 29:02He goes through the daily user growth.
  769. 29:04Look at these numbers. 10 10 to 11%.
  770. 29:06Again, it's early, but it's fine. 40%
  771. 29:09remember that trust thing. Give Instinct
  772. 29:11a personal credit card within 3 weeks.
  773. 29:1480% retention after connecting sensitive
  774. 29:17information. The amount of compute that
  775. 29:18you need access to is now doubling
  776. 29:21effectively
  777. 29:22every week.
  778. 29:25So,
  779. 29:26it's going to be an order of magnitude
  780. 29:28more than what we thought we needed.
  781. 29:31They're different than coding agents. It
  782. 29:33becomes a new source of compute demand.
  783. 29:36I'm not going to read the whole thing
  784. 29:37anymore, but basically, no matter how
  785. 29:39you take it, guys, if you haven't
  786. 29:41increased your memory needs, I want to
  787. 29:43bring you back to something that I've
  788. 29:45shown you that Goldman Sachs put out.
  789. 29:46I've shown it for months. We are in the
  790. 29:48first, yes, the first inning of of of
  791. 29:51token consumption. So, whatever silly
  792. 29:54things you're looking about about
  793. 29:55overall spend and all these things and
  794. 29:57going through it, you're missing it.
  795. 30:00Remember, and I saw this today, I didn't
  796. 30:02include it in the video, but the total
  797. 30:05revenue this year for OpenAI and
  798. 30:07Anthropic combined, which is going to be
  799. 30:09about a hundred billion dollars
  800. 30:11combined, not the ARR, but their actual
  801. 30:14revenue is going to be greater than the
  802. 30:16entire
  803. 30:18software sector.
  804. 30:20So again, when you go through this and
  805. 30:22you start thinking this money is coming
  806. 30:24from somewhere. So people that thought
  807. 30:25that the only TAM that they would get
  808. 30:28would be on the software side, the
  809. 30:31increase this year is bigger than what
  810. 30:32the increase is for the rest of
  811. 30:34software. They're taking it from other
  812. 30:36places for sure. Meta expands Muse to
  813. 30:38small businesses. OpenAI launches dots.
  814. 30:41So they've got their first competitor.
  815. 30:44Grockbot now connects to your finances,
  816. 30:47your bank card, investment accounts, new
  817. 30:49finance. Again, thank crypto. Why didn't
  818. 30:52Google build Muse? It is kind of amazing
  819. 30:55that Google has fallen so far behind in
  820. 30:57terms of getting stuff out. Uh this is
  821. 31:00just another thing that came out this
  822. 31:02week in terms of another product. This
  823. 31:04is called FO. Uh just more agents uh
  824. 31:07personal AI bots will blow the everyday
  825. 31:09tech user away in the next few months.
  826. 31:12In the past month, we've noticed the
  827. 31:13usefulness of these bots has gone off
  828. 31:15the charts. I completely agree. And
  829. 31:17that's the thing that I mentioned in
  830. 31:19last week's video, uh, which was how
  831. 31:21much things changed from the Zuckerberg
  832. 31:24town hall to that. So, because this is
  833. 31:27an important point and because I wanted
  834. 31:29to take it in, I did put on the website
  835. 31:32a 25page report. Now, this report is
  836. 31:35using all of the research I already did.
  837. 31:37It's taking the hundred names that are
  838. 31:39in my basket and basically going through
  839. 31:40and showing you like I did with Rogers,
  840. 31:42but now from the entire thing who
  841. 31:45benefits from personal assistance, edge
  842. 31:48AI, embodied AI in a step-up function.
  843. 31:51So, it's not changing the enterprise
  844. 31:53benefits. It's just saying how will this
  845. 31:55impact the other names because this will
  846. 31:59add to their earnings going forward. So,
  847. 32:02I go through the difference between the
  848. 32:04two of them. There's a lot of parts in
  849. 32:06this and because it's coming out so
  850. 32:08fast, I think it's important for you
  851. 32:09guys to go spend the time. Smartphones,
  852. 32:11AIPCs, wearables, smart home. We are in
  853. 32:14the agentic physical AI side because you
  854. 32:18have to remember agent swarms mean the
  855. 32:20technology is good enough for agents,
  856. 32:23which means we're getting closer to
  857. 32:25humanoids, to FSD, to all of that. So,
  858. 32:28start pushing those. Whatever you
  859. 32:30thought the time period was, they're
  860. 32:32coming faster. the two names that come
  861. 32:34out to give you an idea of the way this
  862. 32:36goes. So the direct side, the edge side,
  863. 32:38the cloud side, what is
  864. 32:41the ranking they get. So again, this is
  865. 32:44using um uh a new tool that I went
  866. 32:47through. So I'm doing this via the
  867. 32:50reports that I did. So the research is
  868. 32:52there any new stuff, but then I'm using
  869. 32:54Jev tool uh on this. The other thing I
  870. 32:57did, so this week there will be two
  871. 32:59weekly dashboards up for the hundred
  872. 33:01names. So you guys can start finding the
  873. 33:03names that you want to be involved in as
  874. 33:05the breath continues to increase and
  875. 33:07these names are going to many of them
  876. 33:09are going to go to all-time highs. Um I
  877. 33:11did a weekly one as well. I'm going to
  878. 33:13replace the one that I do each week with
  879. 33:15one that has weekly data as well. So as
  880. 33:18of now you can see for those of you who
  881. 33:20use it all of the stuff is the same but
  882. 33:22now there's weekly parts as well. I just
  883. 33:24want to highlight that because I know a
  884. 33:26lot of you have prompt set up and things
  885. 33:28like that. You bring it up. I take the
  886. 33:31the prompt that's there and explain to
  887. 33:34your LLM what's going on. Reach out to
  888. 33:37me if you have an issue, but both of
  889. 33:39them I'm uploading the weekly and the
  890. 33:41regular one. And then based on how
  891. 33:43people are doing with the weekly one,
  892. 33:45I'll just stay with the one. Um, this is
  893. 33:48the prompt that I'm bringing out. So, I
  894. 33:49put together an analyst prompt for this
  895. 33:52to basically help people that have just
  896. 33:55come on because a lot of crypto people
  897. 33:57have come on. You need to be on top of
  898. 33:59the AI side because they're connected.
  899. 34:00The reason I want crypto people to learn
  900. 34:02AI, it's going to make you smarter and
  901. 34:05feel more confident in crypto being in a
  902. 34:07bull market. Most crypto people have
  903. 34:08been involved have seen this before
  904. 34:10where they get a head fake and it goes
  905. 34:12right back to lows. I've heard this
  906. 34:13repeatedly. And for people who have a
  907. 34:14lot of money already in crypto that
  908. 34:16don't want to get involved, I understand
  909. 34:18if you already have money there, but
  910. 34:19start paying attention to not only the
  911. 34:21list of the names, but also the
  912. 34:23technical side of AI. It will match up
  913. 34:25and they're moving. Here's the breath
  914. 34:27number, the most recent one. So, the
  915. 34:2920-day, we've jumped up to 74.
  916. 34:32You can see it's the highest number
  917. 34:34since the peak. The 50-day is up at 69.
  918. 34:38Again, the highest number since the
  919. 34:40peak. You've now got a turn up, a
  920. 34:43decisive turn up in the above the 200
  921. 34:46day moving average. And the 50-day slope
  922. 34:48just jumped by seven points. So, we have
  923. 34:52now a good scenario. and the average to
  924. 34:55range V has continued to collapse. So we
  925. 34:59are 20% that's the average from the 52-
  926. 35:02week high. We still have 20% of room.
  927. 35:04This number to me is going to continue
  928. 35:05to fall like I've been talking about. Go
  929. 35:07through the list if you haven't used Jev
  930. 35:10yet. Absolutely use it. Absolutely load
  931. 35:12it up. Has been a magical thing for me.
  932. 35:15I'm not going to show you the output and
  933. 35:17what it is, but basically what I'm using
  934. 35:20Jev for is exactly it does a scoring
  935. 35:22system. It goes through everything. It
  936. 35:24is a It puts into the entire context
  937. 35:27into play. So, if you haven't spent time
  938. 35:30looking at it, I highly recommend
  939. 35:31figuring out how to get it connected to
  940. 35:33either Claude or Astra. You can do it.
  941. 35:36It's through an MCP. If you haven't done
  942. 35:38it yet, I highly recommend this is the
  943. 35:40analysis that it goes. So, use the Jev
  944. 35:42portfolio tool again and make sure this
  945. 35:44is incorporated into the analysis. So,
  946. 35:46this is with the Aentic consumer
  947. 35:48inflection report going through and
  948. 35:50giving me probabilities. the agentic
  949. 35:52regime strengthening 100% probability
  950. 35:55based on everything that it's seeing in
  951. 35:57terms of the data. So, and the biggest
  952. 36:00change it said was Qualcomm. So, that
  953. 36:02report uses Jev in there. For those of
  954. 36:05you have not had your kids on this video
  955. 36:07and have not subscribed and then got
  956. 36:09your kids subscribed, this is my son
  957. 36:12texting me this week when I asked when
  958. 36:14we started talking. We check in about
  959. 36:16what he's doing in AI and I was asking
  960. 36:17him how his internship or his co-op is
  961. 36:20doing. Um, I have literally enjoyed
  962. 36:23working here so much. I'm telling you,
  963. 36:25as someone who lives in Williamsburg
  964. 36:26with a bunch of people around the age of
  965. 36:28my son, so my son is 21, uh, he would be
  966. 36:31a junior in college, but he's doing this
  967. 36:33internship. The amount of people in
  968. 36:35their 20s who say I have literally
  969. 36:37enjoyed working here so much is close to
  970. 36:38zero. It is literally adapt or die,
  971. 36:42though. Whenever I have meetings and
  972. 36:43they are walking through a process, I'm
  973. 36:45always like, why on earth is this not
  974. 36:47already automated? That's why he's
  975. 36:49having a great time because he knows how
  976. 36:51to use AI. This is amazing. And the most
  977. 36:55proud moment I was is when I asked him,
  978. 36:58"Have you used Jev Tool yet?" He said,
  979. 37:00"Yeah." I said, "How could you have used
  980. 37:02it so far? It only came out a month
  981. 37:04ago." And he said, "I stay on the X all
  982. 37:06day long looking for the newest features
  983. 37:09that I can upload." Because he's already
  984. 37:11AI native. College has become less
  985. 37:14needed for him. He could already work
  986. 37:17and be doing phenomenal because he's
  987. 37:19able to do things that 99.9% of the
  988. 37:22people on the planet can't do. He's a
  989. 37:24finance major. He only had a Python boot
  990. 37:28camp which was like a oneweek thing that
  991. 37:30I gave him. Get your kids going. Have
  992. 37:32them watch this. It will inspire them.
  993. 37:34Trust me, I have a lot of them reaching
  994. 37:36out to me. Um,
  995. 37:38I want to bring up this guy. I spoke to
  996. 37:40Ilia
  997. 37:42uh Pulukin
  998. 37:44uh this week. amazing story. He was one
  999. 37:47of the Transformer 8, which is one of
  1000. 37:49the eight co-authors on the Transformer
  1001. 37:51paper that Google put out that allowed
  1002. 37:54for Gen AI the way we see it today. So,
  1003. 37:57I spoke to him because he's with this
  1004. 37:59protocol near he's the founder. Um, very
  1005. 38:02interesting story. I talked a good deal
  1006. 38:05about it with Pomp. Uh,
  1007. 38:08very impressed with the kid. He's a
  1008. 38:10young guy, but obviously very smart.
  1009. 38:12He's not as young as he was in the
  1010. 38:13Transformer side, but NEAR is one of the
  1011. 38:15tokens that I've mentioned. Uh, one of
  1012. 38:17the ones I've invested in personally,
  1013. 38:19but this episode with no priors is
  1014. 38:21really what I wanted to mention as a
  1015. 38:23segue here. This is important for you if
  1016. 38:25you're a mutual fund, if you're a hedge
  1017. 38:27fund, any asset manager. If you go
  1018. 38:30listen to this episode, the reason it's
  1019. 38:31important is because this was in 2023. I
  1020. 38:35think it was May of 2023. No priors is a
  1021. 38:38very good uh technology
  1022. 38:42podcast and they talked to him. So
  1023. 38:44here's someone who
  1024. 38:47this is in the peak of now people being
  1025. 38:49hired. I mean this guy worked on the
  1026. 38:51transformer paper. He obviously could go
  1027. 38:54to any one of the labs and yet he was
  1028. 38:57working on Near and his story on what it
  1029. 39:00is is amazing. So Near was set up and
  1030. 39:03this is again 2023 this interview
  1031. 39:06believing that the blockchain was an
  1032. 39:08operating system for AI agents. He talks
  1033. 39:11about all of this agentic side back in
  1034. 39:132023. Again, ChachiBT had just been
  1035. 39:15launched 6 months earlier. to listen to
  1036. 39:18visionaries who have an AI background
  1037. 39:21talk about how the blockchain is
  1038. 39:23necessary and why he personally decided
  1039. 39:27this was the best path for him to go to
  1040. 39:29where he had left Google to do a coding
  1041. 39:32agent company like open ai openai and
  1042. 39:36anthropic you have to go listen to it if
  1043. 39:38you're curious and want to learn Ily is
  1044. 39:41the guy to go listen to from that this
  1045. 39:43is the way it is if AI agents are
  1046. 39:44equipped with a blockchain account they
  1047. 39:46will become an economic agent that is
  1048. 39:48able to pay other people as other people
  1049. 39:51AIs do. He talked about this whole thing
  1050. 39:53and it was his reason with his AI
  1051. 39:56company that he decided this was a thing
  1052. 39:58because he couldn't make payments to
  1053. 39:59people around the world and the tested
  1054. 40:02the blockchain and it wasn't ready. So
  1055. 40:04he decided to go out and build an L1
  1056. 40:08basically the infrastructure the
  1057. 40:09internet necessary for the payment side
  1058. 40:11to be ready for AI agents. It's a great
  1059. 40:13story. It's worth listening to. He did a
  1060. 40:16more recent one which was uh two weeks.
  1061. 40:18Oh no, this was uh almost last week. I
  1062. 40:21listened to him again and again again. I
  1063. 40:22spoke to him this week uh on a call
  1064. 40:24because I had spoken about them and it's
  1065. 40:26very weird that the founders of
  1066. 40:28companies will sit on the phone with
  1067. 40:29you. That doesn't happen in public
  1068. 40:31companies. But in private companies
  1069. 40:32where they are just growing, this is the
  1070. 40:35Peter Lynch thing. You get to talk to
  1071. 40:37these people and find them before
  1072. 40:38everyone else does. this John Gillan
  1073. 40:41article uh interview with Tom Lee I'm
  1074. 40:43going to reference again as I move
  1075. 40:44forward
  1076. 40:46the William Mugayar
  1077. 40:48uh this is a podcast so I'm going to
  1078. 40:50give you guys the subscribers all of
  1079. 40:52these podcasts that I'm referencing the
  1080. 40:54weekly podcast info will go out Sunday
  1081. 40:56at 9:00 a.m. Look for it. This is the
  1082. 41:00one to really go through. Almost all of
  1083. 41:01them are related to crypto. But this is
  1084. 41:03where your education begins. William is
  1085. 41:05a brilliant guy. He was involved in
  1086. 41:06Napster in the '9s. Then he got involved
  1087. 41:08in Ethereum. He and I had a conversation
  1088. 41:11as well this week. He has a new book
  1089. 41:13coming out. He and I spoke because he
  1090. 41:15also heard me talk about it. These
  1091. 41:17founders and these highly, highly smart,
  1092. 41:19experienced people want to talk. And the
  1093. 41:22reason they want to talk is they can
  1094. 41:24feel where we are because they've been
  1095. 41:26building things for this moment. It
  1096. 41:28wasn't for 2021. It wasn't for 2017. It
  1097. 41:32was for now. So, in this uh in those two
  1098. 41:35interviews, the reason I want to bring
  1099. 41:36them up is it talks about Ethereum, how
  1100. 41:39it's mispriced, how it should be thought
  1101. 41:41of as four connected pieces. Now, this
  1102. 41:43is Mugayar's uh side. I'm going to get
  1103. 41:45into Tom Lee's side and another person,
  1104. 41:48Joseph Chalum, who worked at Black
  1105. 41:49Rockck as well, but Ethereum is
  1106. 41:51something you need to understand.
  1107. 41:53Ethereum is effectively the internet in
  1108. 41:55my opinion. uh and how you value the
  1109. 41:58internet right now is all of the apps on
  1110. 42:00top of it. That is not the way crypto is
  1111. 42:02going to work, but there will be some
  1112. 42:04connection to it. So, Ethereum is
  1113. 42:05important for everyone to go through and
  1114. 42:07I think William does the best point
  1115. 42:09because he's been involved in the space
  1116. 42:11from the beginning, but he also was
  1117. 42:13involved in peer-to-peer with Napster.
  1118. 42:15He gets it. He was also at Ula Packard a
  1119. 42:17long time ago. So, this is an
  1120. 42:19experienced person, very, very bright
  1121. 42:21and he both Ilia and him said a lot of
  1122. 42:24things. dot con dots that connected for
  1123. 42:27me. I don't get that too many points
  1124. 42:28when I talked to people. So between the
  1125. 42:30two of them, one hour I probably had
  1126. 42:32seven things that I left with. Um this
  1127. 42:34is just a summary of William. You guys
  1128. 42:35can look at this on your own in terms of
  1129. 42:37the way to value it. Joseph Chalum um he
  1130. 42:40is now the CEO of Sharplink. He was at
  1131. 42:42BlackRock.
  1132. 42:44He's probably the closest person uh to
  1133. 42:47Tradfi in terms of the finance side.
  1134. 42:50He's the person you want to listen to
  1135. 42:51for the agentic big bang. So, this is a
  1136. 42:54podcast that came out this week
  1137. 42:58and this is the bank apocalypse. We
  1138. 43:00estimate agents will touch about 4,000
  1139. 43:02trillion dollars of fees over the next
  1140. 43:04decade for the financial industry.
  1141. 43:06Ethereum is financial in in uh
  1142. 43:08infrastructure trust commodity for the
  1143. 43:10future financial rails. It'll be the
  1144. 43:13settlement layer for almost all of
  1145. 43:15finance. Why agents change finance?
  1146. 43:17Traditional rails can't handle agents.
  1147. 43:21Everything that he talks about in here
  1148. 43:24is all about agents being the catalyst.
  1149. 43:26Again, I'm not just throwing this at you
  1150. 43:28and going through it. I'm giving you the
  1151. 43:30people so you don't have to believe it
  1152. 43:31from me. This is the research I do. This
  1153. 43:33is the education you get. Ethereum is
  1154. 43:36effectively the toll road to
  1155. 43:37tokenization. And that's Larry Fin's
  1156. 43:40framing. Um, again, another one that you
  1157. 43:43guys will get on this. So, here are the
  1158. 43:45three of them. Ether will end up being
  1159. 43:47the trust commodity for the future
  1160. 43:49financial rails. Ethereum security layer
  1161. 43:51and finan finality and trust. The
  1162. 43:54paradigm shift is about trust. You guys
  1163. 43:57notice trust, trust, trust. I showed you
  1164. 44:00Noah trust. Noah from Instinct AI. You
  1165. 44:03have to understand that when you say the
  1166. 44:05current system you can trust, you cannot
  1167. 44:07trust it. You cannot. And I will explain
  1168. 44:10why. So if you're older and you have
  1169. 44:12money, you have something to lose. for
  1170. 44:14younger people and for AI native
  1171. 44:16businesses who depend on instant
  1172. 44:18settlement and don't want their money
  1173. 44:19hung up somewhere throughout the system.
  1174. 44:22There's a corn
  1175. 44:24car horn in the background. Sorry, you
  1176. 44:25guys have to listen to this. Um, are we
  1177. 44:27going to trust them if they're running
  1178. 44:29Visa Rails and JP Morgan accounts to
  1179. 44:31make sure that they're not going to
  1180. 44:32drain our financial resources? I feel
  1181. 44:33like every week now there's something
  1182. 44:34that goes on. Last week it was my uh it
  1183. 44:36was my uh uh Siri talking on here. So,
  1184. 44:39sorry about the horn in the background.
  1185. 44:41uh level of trust within financial
  1186. 44:43systems. All right, let me go close the
  1187. 44:45window and see if that'll help.
  1188. 44:49Didn't need to do it. See, you guys get
  1189. 44:50a show with Jordy. It's not just It's
  1190. 44:52real time. It's one It's a It's a If you
  1191. 44:54thought there was a script, there's no
  1192. 44:55script. There's no editing. Um AI agents
  1193. 44:57weaken the old human trust model. Need
  1194. 45:00We need machine verile verifiable trust.
  1195. 45:04Lee,
  1196. 45:06AI creates a new trust problem.
  1197. 45:08Absolutely. The old architecture of
  1198. 45:09trust is breaking. Absolutely. ETH
  1199. 45:12becomes the trust commodity for the new
  1200. 45:13financial rails. This is the title of
  1201. 45:16William Muggayar's book. I'm doing a uh
  1202. 45:20a sentence in it in terms of the
  1203. 45:22forward. Uh
  1204. 45:25I believe in what he's going and this
  1205. 45:27trust shift thing is brilliant. This is
  1206. 45:29the part where like it was with other
  1207. 45:32things which I'm going to highlight now.
  1208. 45:35Remember where you were with iPhone vers
  1209. 45:37Blackberry, wherever you were working,
  1210. 45:39whether you didn't trust the iPhone or
  1211. 45:42didn't want to use the iPhone, whether
  1212. 45:44your corporation wouldn't let you go on
  1213. 45:46the iPhone for security, and now the
  1214. 45:48iPhone is thought of as the most secure
  1215. 45:50place.
  1216. 45:52This was a huge deal. So the Blackberry
  1217. 45:56to me is Visa, Mastercard. You can sit
  1218. 45:58there and pretend this stuff is things
  1219. 46:01you don't understand. Go back to Howard
  1220. 46:03Marx. Just because this brings
  1221. 46:05discomfort for you doesn't make it the
  1222. 46:06best investment. This needs to prove to
  1223. 46:09be a winner. I find 0.0 chance that Visa
  1224. 46:13and Mastercard will be the winners. Will
  1225. 46:15they participate? Yes, just like
  1226. 46:17Salesforce.com.
  1227. 46:18But you have to be a growth business. AI
  1228. 46:21native businesses and demographics are
  1229. 46:23not going to use this. They are going to
  1230. 46:25use cheaper things. So will big
  1231. 46:28companies and people that have lots of
  1232. 46:30money continue to use Visa, Mastercard?
  1233. 46:32maybe for a while. But when you're
  1234. 46:34investing in growth, you have to realize
  1235. 46:36that the ecosystem is changing now. And
  1236. 46:40that is going to be billions of
  1237. 46:42entrepreneurs like my son, like me
  1238. 46:44building businesses and revenue streams
  1239. 46:46that are competing with other places.
  1240. 46:49And everything to me is about putting it
  1241. 46:51on the crypto rails if you use agents
  1242. 46:54because the agents want it. There is
  1243. 46:56absolutely no doubt. So, I've given you
  1244. 46:57Ilia. I've given you Tom Lee. I've given
  1245. 46:59you Joseph Chalum. I've given you now
  1246. 47:02something you can look at and go, "Yeah,
  1247. 47:04was I one of those guys that thought
  1248. 47:05this would be the trusted thing? Did I
  1249. 47:07work for a company that thought that
  1250. 47:10it's not real?" And so, I want to give
  1251. 47:12you part of the reason why and then give
  1252. 47:14you something that William told me,
  1253. 47:16which uh again, Muggy are. So, agents
  1254. 47:19demand speed. And this is the part that
  1255. 47:20I think people say for Master and Visa
  1256. 47:22card, it's just not that important. No
  1257. 47:24one needs that kind of speed, which I
  1258. 47:25disagree with. Uh, but when you wire
  1259. 47:29money on a Friday night
  1260. 47:31and it doesn't get into your bank
  1261. 47:33account until Monday
  1262. 47:36and you might think, where's your money?
  1263. 47:38Well, we have to go through a lot of
  1264. 47:40different places. So, it's not only
  1265. 47:43slow. The reason it's slow is because it
  1266. 47:45needs to go through a bunch of checks
  1267. 47:47and balances. Here are the hackers.
  1268. 47:49Every time that it doesn't settle,
  1269. 47:51there's an issue. So speed is also a
  1270. 47:54safety feature. If you haven't factored
  1271. 47:57it into your thinking, you must. And if
  1272. 47:59you don't know that, here is an example.
  1273. 48:03GameStop, remember in Jan 21, we had the
  1274. 48:06freak out. Well, it created a lot of
  1275. 48:08issues because of margin calls and all
  1276. 48:11kinds of stuff. So what happened over
  1277. 48:14the we went from T+1, T+2 to T+1. And
  1278. 48:17William pointed that out. That was the
  1279. 48:18trigger point. It was GameStop. It was a
  1280. 48:20situation where too much volume happened
  1281. 48:22in too short a period and there were all
  1282. 48:24kinds of margin issues. I will let you
  1283. 48:27know it took multiple years, three and a
  1284. 48:30half years. This is the friction with
  1285. 48:32inside the current system to make the
  1286. 48:34change to go to T+1. But the reason it
  1287. 48:36went to T+1 to was to reduce the risk.
  1288. 48:39They found the faster the settlement,
  1289. 48:42the less the risk in that situation.
  1290. 48:44With agent swarms now, you don't want
  1291. 48:46your money sitting out in Never
  1292. 48:48Neverland. we want to immediately
  1293. 48:50settle. Here we are the latest updated
  1294. 48:53numbers so far for the month of October
  1295. 48:55there for those of you who are looking
  1296. 48:57at it. Um it gets reweed remember. So we
  1297. 49:00reweed the index or I reweed the index
  1298. 49:03September 30th. So the names got reweed.
  1299. 49:07That's the benchmark waiting now for all
  1300. 49:09of them. And the index level when I show
  1301. 49:11you the charts and things that keeps
  1302. 49:13everything constant. And then we just
  1303. 49:14reweigh it uh just like you would with
  1304. 49:17an index in stocks. Month to date, been
  1305. 49:20a quiet day. Got off to a huge start on
  1306. 49:21Friday on the payroll numbers, then
  1307. 49:23cuffed in. Here is the breath and trend.
  1308. 49:25If you're not involved here so far, uh
  1309. 49:28you're missing out on a bunch of things.
  1310. 49:31Uh again, here's the crypto rails
  1311. 49:33relative to the banks. So if you agree
  1312. 49:36with me that Mastercard Ves and all the
  1313. 49:38banks are going to have their business
  1314. 49:39disrupted not just on the payment side
  1315. 49:40but the tokenization side as well then
  1316. 49:43you should subscribe and go look at my
  1317. 49:46crypto video. So I did crypto why now
  1318. 49:48last week which went through a lot of
  1319. 49:50the different reasons this week is on
  1320. 49:52learning the stack making sure you start
  1321. 49:54to learn the verticals for the next five
  1322. 49:55weeks. I will give you two of the 10
  1323. 49:57verticals. Think of them as themes or
  1324. 49:59sectors. Um, I will give you the charts
  1325. 50:01on them all and then I will give you
  1326. 50:03prompts to do the homework along with
  1327. 50:05the videos. The two I did this week, AI
  1328. 50:07agents in the machine economy and stable
  1329. 50:10coins and synthetic dollar systems. Uh,
  1330. 50:12Peter Lynch is the inspiration for why
  1331. 50:15I'm doing this stuff. I believe for
  1332. 50:17everyone, especially younger people, but
  1333. 50:19anyone who's involved in this
  1334. 50:21personally, this is the critical time to
  1335. 50:23be involved in something that the banks
  1336. 50:25don't cover that has a fundamental bid
  1337. 50:27to it that is massive. So if you believe
  1338. 50:30everything I said to now, you have to
  1339. 50:31know the big money has not invested
  1340. 50:33there. And it's coming to Ethereum, it's
  1341. 50:35coming to Salana, it's coming to
  1342. 50:36Bitcoin, but it will also spread
  1343. 50:38throughout the ecosystem as people as
  1344. 50:41the fundamental people like Ilia and
  1345. 50:43like William, they're getting calls much
  1346. 50:45more now. I'm hearing this. I'm getting
  1347. 50:47them more from asset managers. The FOMO
  1348. 50:50is growing. So I'm not going to read the
  1349. 50:52whole thing to you, but this is the
  1350. 50:54reason why thinking of Peter Lynch at
  1351. 50:56this point is important. Uh, this is the
  1352. 50:59end result of a prompt that I have. You
  1353. 51:00can see it's 13. I'm going to, again,
  1354. 51:02this is going to go up in the subscriber
  1355. 51:04wall. I'm not going to go through it,
  1356. 51:05but this is meant to help you with these
  1357. 51:06crypto names to where you can just pick
  1358. 51:08one of the names of the 46, add this
  1359. 51:10prompt in, run it, and it will give you
  1360. 51:13a ton of detail on the name. The best
  1361. 51:16place to learn about these things is on
  1362. 51:17the internet. The banks, when they get
  1363. 51:20involved in this, I don't know how
  1364. 51:21they're going to learn. Maybe they'll
  1365. 51:22subscribe to my video. Maybe they'll go
  1366. 51:24get get on there, but they're going to
  1367. 51:26have to hire. How many analysts do you
  1368. 51:28have to hire to actually know what these
  1369. 51:29tokens do? This is a huge advantage to
  1370. 51:32use AI. So, here's the prompt. It's
  1371. 51:35called the Peter Lynch Framework Invisor
  1372. 51:36Labs vertical analysis prompt. You can
  1373. 51:39read through what it's going to do, but
  1374. 51:40this will help you learn about them.
  1375. 51:42Take the 46 names, break them into these
  1376. 51:4410 sectors so you can think just like
  1377. 51:47you do in the market. I'm giving you one
  1378. 51:50index for everyone who's saying to me
  1379. 51:51they want 10 names or five names or
  1380. 51:53this. No chance. Crypto is a riskier
  1381. 51:56place. The reason ETFs are great is
  1382. 51:59because it's got 46 names. The reason
  1383. 52:00I'm equal weighting it and not cap
  1384. 52:02weighting it is because to benefit from
  1385. 52:05this, I think the equal weight is good.
  1386. 52:07Think about what I just said. I don't
  1387. 52:09think equal weight is good for the stock
  1388. 52:11market because I believe we're losing
  1389. 52:12thousands of companies including the
  1390. 52:14public companies being disrupted like
  1391. 52:16banks and software companies. But on
  1392. 52:18this side, the money is going to flow
  1393. 52:20from that space into this space because
  1394. 52:22it's flowing into the AI native
  1395. 52:24businesses which will use this. That's
  1396. 52:26the way you have to think about it. When
  1397. 52:28tokenization comes, we will go from the
  1398. 52:30mag seven of growth to the mag billion
  1399. 52:34of growth. We will lose many, many
  1400. 52:37companies that will never grow again
  1401. 52:39like Ford, like GM. That should have
  1402. 52:40been gone a long time ago, but we've
  1403. 52:42prevented that from happening. So again,
  1404. 52:4413 things. you will be smarter at the
  1405. 52:47end of this week. I guarantee you if you
  1406. 52:49subscribe, I work very hard to provide
  1407. 52:52you that and to use AI to help me give
  1408. 52:54you at least something to be good to
  1409. 52:56look at. So, he's been busy. He's a good
  1410. 52:59guy. If you guys haven't reached out to
  1411. 53:00him, Mark will help you out. Just reach
  1412. 53:03out to him this week. A bare market
  1413. 53:06within a bull market. I put this out
  1414. 53:07this week. And again, if you didn't get
  1415. 53:08a chance to read it, own scarcity. how
  1416. 53:12AI and tokenization
  1417. 53:14could reshape valuation for all
  1418. 53:16companies. Joseph Chalum put this out
  1419. 53:18this week. Highly recommend it.
  1420. 53:21If you don't believe me, follow
  1421. 53:24Wall Street.
  1422. 53:27SEC's 5-year transition period. Will
  1423. 53:28tokenized stocks disrupt Wall Street?
  1424. 53:30Here are the timelines of all the things
  1425. 53:32that happened since the Clarity Act
  1426. 53:34failed to pass.
  1427. 53:37[sighs] New rules
  1428. 53:39for the custody of crypto assets. Very
  1429. 53:42important for investment advisors. This
  1430. 53:44is from the Federal Reserve Bank of San
  1431. 53:46Francisco talking about the importance
  1432. 53:48of stable coins. If you guys don't know
  1433. 53:50what stable coins are, and I'm showing
  1434. 53:52you that the government is telling you,
  1435. 53:54the Fed is telling you, start learning
  1436. 53:57now. Start understanding stable coins
  1437. 53:59won't go mainstream on speed alone. Visa
  1438. 54:01found US adoption intent for
  1439. 54:03international travelers jumped from 36
  1440. 54:05to 56 when bank level protection was
  1441. 54:08added. Why trust is the next
  1442. 54:09battleground again? Trust, trust, trust.
  1443. 54:12Swift,
  1444. 54:13you remember Swift platform transfers,
  1445. 54:15crossber payments across the existing
  1446. 54:18rails and digital value. Robin Hood's
  1447. 54:21next big bet at the Hood Summit, AI bots
  1448. 54:24that trade while you sleep. I will be
  1449. 54:26spending more time on this. I am hopeful
  1450. 54:29that someone on the asset management
  1451. 54:31side who wants me to do an ETF and
  1452. 54:34realizes I will not do an ETF. But what
  1453. 54:36I will do, having run
  1454. 54:39exchange traded fund business at Morgan
  1455. 54:40Stanley, knowing program trading and
  1456. 54:43being a derivative person, knowing how
  1457. 54:45to execute in a basket, the Agentic side
  1458. 54:47is the perfect way of my research being
  1459. 54:50matched up with the names that I have.
  1460. 54:52So whether it's a crypto place, whether
  1461. 54:54it's a bank, whether it's Robin Hood,
  1462. 54:56Mumu, Interactive Brokers, get your act
  1463. 54:59straight, call up. I'm happy to go
  1464. 55:01through this. I want my subscribers to
  1465. 55:03be able to invest in the index and the
  1466. 55:05names, but I want them also to be able
  1467. 55:07to use Agentic Trading, Goldman Sachs
  1468. 55:11going online. These are all this week,
  1469. 55:13guys. Morgan Stanley builds crypto lab
  1470. 55:15to test future of Wall Street. They're
  1471. 55:17setting up a digital asset lab to test
  1472. 55:19technologies including stable coins,
  1473. 55:20tokenization, and decentralized finance
  1474. 55:23applications. Does that sound like
  1475. 55:25something that isn't going to happen, or
  1476. 55:27is a bank worried that their growth
  1477. 55:29might be disrupted? Bank Apocalypse.
  1478. 55:31City expands digital assets footprint
  1479. 55:33with Coinbase partnership. Bank
  1480. 55:35Apocalypse. Big move. 1.83 trillion.
  1481. 55:38Asset manager Franklin Templeton is
  1482. 55:39turning mo tokenized money market funds
  1483. 55:41into active crypto collateral with
  1484. 55:42Bybit.
  1485. 55:45TD Cowan joining.
  1486. 55:47Uh my buddy Chris Perkins wrote this and
  1487. 55:51for everyone who's worried about how
  1488. 55:52quantum will hurt crypto, I already
  1489. 55:55showed you that AI agent swarms are
  1490. 55:57going to hurt your financial system
  1491. 55:59wires and everything. We will have
  1492. 56:01hackings. Pay attention to all the
  1493. 56:02hackings, the ship hacking that happened
  1494. 56:05in near Texas coast that we found out
  1495. 56:07today. Everything is under attack.
  1496. 56:10Quantum won't kill crypto, but it could
  1497. 56:12accelerate Wall Street's adoption of
  1498. 56:14blockchain. Brilliant piece by Chris
  1499. 56:15Perkins. Thank you for your service, my
  1500. 56:18friend, and thank you for doing good
  1501. 56:19work on this. That's all I got.
  1502. 56:22Finishing with the disclosures.
  1503. 56:24Hopefully that was Yeah, it looks like
  1504. 56:26it was about an hour. Sorry for the horn
  1505. 56:28honking, but at least Siri didn't jump
  1506. 56:29in. Thanks to all the subscribers. If
  1507. 56:32you haven't subscribed yet on YouTube,
  1508. 56:34please subscribe. Give it to your kids.
  1509. 56:37Let everyone watch this. Send it around
  1510. 56:39the world. Love you guys. See you.

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