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Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem — Transcript

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  1. 0:00Our favorite fifth bestie in the world,
  2. 0:03the one, the only Brad Bersner from
  3. 0:06Altimter. Brad has had unbelievable
  4. 0:08career starting five companies. So, he's
  5. 0:11got a very different mentality than your
  6. 0:13sort of classic hedge fund guy.
  7. 0:15>> He's an amazingly successful guy and
  8. 0:17he's put up a tremendous amount of
  9. 0:19money.
  10. 0:19>> Every child in America, all 70 million
  11. 0:23kids under the age of 18 deserve to have
  12. 0:25one of these accounts. This would not be
  13. 0:27a law if Brad Gerster did not pursue it
  14. 0:31with absolute dogged determination.
  15. 0:34>> This is not a program. This is a
  16. 0:36platform. It is the largest unlock of
  17. 0:39direct philanthropy in the history of
  18. 0:40the country.
  19. 0:41>> I think the antidote to more socialism
  20. 0:43is more capitalism.
  21. 0:46Please welcome Brad Gersner.
  22. 0:54Woo.
  23. 0:56Wow.
  24. 0:58Let's go.
  25. 1:02Let's go.
  26. 1:04Thank you guys. And thank you for so
  27. 1:06much love yesterday, especially on the
  28. 1:08Trump accounts. So many people came up.
  29. 1:12Everybody gets what this means for
  30. 1:14America. We're in a battle for the soul
  31. 1:16of America. 70 million kids are going to
  32. 1:19be made direct owners in America. That
  33. 1:22is how we beat the scourge of capital or
  34. 1:25socialism. We make every child a
  35. 1:27capitalist.
  36. 1:32>> And also
  37. 1:34thank you to all the people yesterday
  38. 1:36who came up who took the CAC scan, the
  39. 1:39heart scan outside from the center for
  40. 1:41heart attack prevention which we
  41. 1:43started. There's no doubt based on these
  42. 1:45results we uh you know we're going to
  43. 1:48save some lives even yesterday. Okay.
  44. 1:51This is the highest ROI thing you can do
  45. 1:54in healthcare. Every cardiologist I talk
  46. 1:57to does this for themselves, their
  47. 1:59family, and their friends. It's a
  48. 2:00hundred bucks, 15 minutes. Get it done.
  49. 2:03If we turn this into the mammogram for
  50. 2:05the heart, we'll save 50,000 lives a
  51. 2:07year in this country. It's like ending a
  52. 2:09Ukraine war in America every year. So,
  53. 2:11go get your CAC scan done if you have
  54. 2:13it. But today is not about those two
  55. 2:14moonshots.
  56. 2:16Today is kind of a throwback to what I
  57. 2:18used to do on the pod with these guys,
  58. 2:20which is a market check, a tech check,
  59. 2:22state of the market. Where are we? Where
  60. 2:24are we going? What do we have to believe
  61. 2:26to be true in order for the market to
  62. 2:28continue to work? We're going to do a
  63. 2:30bit of a speed round here. So, bear with
  64. 2:32me. Get your cameras out. Get your notes
  65. 2:35out. Some good some good chart candy in
  66. 2:37here for you guys. So markets up 15%
  67. 2:41this year, up 39% since January of last
  68. 2:43year, despite all the concerns about
  69. 2:45tariffs, despite all the concerns about
  70. 2:47geopolitics,
  71. 2:49despite all the concerns about AI
  72. 2:51regulation.
  73. 2:52The scoreboard, we have a lot of people
  74. 2:55in the bestie group who said gold was
  75. 2:57going to be off the charts this year.
  76. 2:58It's flat. Bitcoin's down 10%. But look,
  77. 3:01we have Nvidia revenue up 2x.
  78. 3:03Hyperscaler capex up 2x. Open AI and
  79. 3:06Enthropics valuation up 2x. SpaceX up
  80. 3:09two and a halfx in a pretty nasty
  81. 3:11backdrop.
  82. 3:13This is not about multiple expansion.
  83. 3:16This is an earnings driven market
  84. 3:19expansion. We've seen multiple
  85. 3:21contraction this year. Earnings are up
  86. 3:2326% of course driven a lot by AI
  87. 3:26infrastructure, but the multiple on the
  88. 3:28NASDAQ and the S&P is actually down.
  89. 3:31Look at Nvidia trading at 14 times next
  90. 3:34year's fully taxed gap earnings. This is
  91. 3:37no bubble like it was in 2000.
  92. 3:40NASDAQ, S&P, Socks, Nvidia, all trading
  93. 3:44well below their average multiples.
  94. 3:47Okay, MAG 7 basically in line with its
  95. 3:51average multiple, but not everybody is
  96. 3:53winning. Okay, at the bottom here,
  97. 3:55consumer discretionary, software,
  98. 3:57financials, huge sections of the market
  99. 3:59have barely moved, right? This is a
  100. 4:02market that is being driven by the
  101. 4:04largest capex buildout, the largest
  102. 4:06super cycle in the history of
  103. 4:08technology.
  104. 4:11Semiconductors are 70% of the NASDAQ's
  105. 4:14return.
  106. 4:1670% of the return. That's both good and
  107. 4:18bad, and we'll get into that.
  108. 4:22So, who's making the money? The makers
  109. 4:23of the tokens are making the money and
  110. 4:26the buyers of the tokens are basically
  111. 4:28going along for the ride
  112. 4:33because of the tightness in the
  113. 4:35infrastructure market. We have massive
  114. 4:38public companies that look like venture
  115. 4:40capital returns.
  116. 4:42Dell up 5x up 9x in just 18 months.
  117. 4:49I love this chart. In blue you have the
  118. 4:52hyperscaler capex.
  119. 4:54In orange you have the free cash flow of
  120. 4:57the semiconductor companies. Do you
  121. 4:59notice anything?
  122. 5:02Their capex is almost dollar fordoll
  123. 5:04free cash flow to the infrastructure
  124. 5:06companies.
  125. 5:08Okay. Where were we at the start of the
  126. 5:10year? This is a really important
  127. 5:14framework to get your head around. You
  128. 5:16may remember a certain podcast I did
  129. 5:19with Sam Alman and Satcha in October of
  130. 5:21last year. And I asked Sam a very basic
  131. 5:24question that was on everybody's mind.
  132. 5:26How can you commit to a trillion dollars
  133. 5:28in capex when you have $13 billion of
  134. 5:31gap revenue?
  135. 5:33I thought this would be a way to clear
  136. 5:35up some confusion in the market.
  137. 5:37Instead, he told me to sell my shares.
  138. 5:42But then in the beginning of December we
  139. 5:44have opus 4.5 and claude code and then
  140. 5:48in January anthropics revenue was two
  141. 5:51billion and then in February it's 4
  142. 5:53billion and in March it was 11 billion.
  143. 5:56Do you notice anything that happened
  144. 5:57there in March? People started figuring
  145. 5:59out what anthropics revenue was. We had
  146. 6:02a an exclamation point answer to the
  147. 6:05question will the AI revenue showed up?
  148. 6:07It showed up in a massive way and that's
  149. 6:09why we got this historic run in April
  150. 6:11and May. We ripped off the bottom
  151. 6:14because the fuse was lit by Anthropic's
  152. 6:16monthly revenue. And then in in June and
  153. 6:20July, we had some consolidation. Why?
  154. 6:22Because Anthropic came out and said,
  155. 6:24"Oh, our annual run rate revenue is 65."
  156. 6:26People thought it was 75. So they had to
  157. 6:29revise down their estimates a little
  158. 6:30bit. And we had some concerns about open
  159. 6:33source. Is open source catching up? you
  160. 6:35know, is Anthropic going to continue to
  161. 6:36be able to generate those revenues? And
  162. 6:39so, we've kind of moved sideways since
  163. 6:40then.
  164. 6:44It's hard to get your head around the
  165. 6:46fact that these revenues have never
  166. 6:49happened before in the history of
  167. 6:51capitalism,
  168. 6:53right? We are on parabolic double
  169. 6:55exponential curves around these
  170. 6:57revenues. So the collective run rate,
  171. 7:00let's just call it of the top three
  172. 7:01labs, Anthropic, Open AI, and SpaceX is
  173. 7:05about a hundred billion based upon all
  174. 7:08the rumors that are out there coming out
  175. 7:10of July.
  176. 7:12I think they need to collectively get to
  177. 7:15at least $180 billion by the end of the
  178. 7:17year, add another $80 billion across
  179. 7:20those three labs just to keep the AI
  180. 7:23trade intact.
  181. 7:27So this is the single most important
  182. 7:29data point in the market today, right?
  183. 7:32Is Anthropics monthly revenue is
  184. 7:34OpenAI's monthly revenue going to be 4
  185. 7:36billion or 8 billion? It's almost hard
  186. 7:38to get your head around. Most of us
  187. 7:40who've been in venture capital for a
  188. 7:42long time, if you added a billion, if
  189. 7:44you got to a billion dollars in software
  190. 7:46revenue over like four or five years,
  191. 7:49you were in the top 5% of software
  192. 7:51companies. But this is what the world is
  193. 7:54now pricing in. So why is this so
  194. 7:56important? It's this slide. If you're
  195. 7:59going to build a a trillion half dollars
  196. 8:02a year in capex, somebody has to pay for
  197. 8:05it, right? Microsoft's not paying for
  198. 8:08it. They're building it to rent it.
  199. 8:10Google's not paying for it. They're
  200. 8:12building it to rent it. Amazon's
  201. 8:14building it to rent it. Well, who is the
  202. 8:16person renting it? We have to have the
  203. 8:18offtake revenues in order to pay that
  204. 8:20rent. So if we exit this year around,
  205. 8:23you know, let's call it 200 billion of
  206. 8:25run rate revenue. That's below the the
  207. 8:27years there. I think you have to go from
  208. 8:29200 to 450 to 800 or a trillion dollars
  209. 8:34just to keep up. The blue bar is the
  210. 8:37expected capex just from the MAG 5 and
  211. 8:40the orange bar is the offtake revenue,
  212. 8:42the gap offtake revenue that we need to
  213. 8:45see in order to keep this trade intact
  214. 8:48over the course of the next few years.
  215. 8:49Otherwise, we can't build this much
  216. 8:51capex.
  217. 8:53So, the labs are increasingly,
  218. 8:56you know, like the conversation I had
  219. 8:58with Sam last October, they're
  220. 9:00aggressively expanding compute. Why? All
  221. 9:02the things you heard yesterday, we're
  222. 9:04heading into recursive cycles. They're
  223. 9:06seeing, you know, incredible demand for
  224. 9:08the product. And so, they're building
  225. 9:10out compute. This year the total amount
  226. 9:12of uh compute added so 2026 about 19
  227. 9:16gawatt and about seven of those
  228. 9:18gigawatts went to the two leading labs.
  229. 9:21Next year this is semi analysis so Dylan
  230. 9:23Patel forecast that the work that we're
  231. 9:26going to add 43 gawatt and that about 14
  232. 9:29gawatt are going to go to the leading
  233. 9:32labs and we'll come back to this
  234. 9:33question of can we really stand up 43
  235. 9:37gawatts of compute next year. Notice
  236. 9:39that the amount that we're adding next
  237. 9:41year is as much as the total compute we
  238. 9:43have in the United States this year, the
  239. 9:46cumulative compute we have in the United
  240. 9:49States this year. So that's what the
  241. 9:51market is anticipating.
  242. 9:53What happens if that doesn't happen? And
  243. 9:56by the way, if you added those bars up,
  244. 9:58by 2028, to David Sax's point yesterday,
  245. 10:01over half of the total compute in the
  246. 10:04country is controlled by two labs.
  247. 10:07So it does the TAM exist? Does the TAM
  248. 10:11exist? Right? So if we look at the total
  249. 10:13TAM of knowledge work, right? That this
  250. 10:16is a massive massive category. You got
  251. 10:18consumer plus ads plus coding and all
  252. 10:21these white collar workflows, millions
  253. 10:24of enterprises. I would argue it's the
  254. 10:25largest TAM in the history of the world.
  255. 10:28You only have to get to about 4% of that
  256. 10:30TAM or 1.2 trillion in order to pay for
  257. 10:33the capex. So I don't think it's a TAM
  258. 10:35issue. Um, obviously Jensen was on our
  259. 10:39was on the pod and he he he talked two
  260. 10:41years ago that inference was going to 1
  261. 10:43billionx and remember all the people
  262. 10:45saying he's full of there's no way this
  263. 10:47can 1 billionx. That's exactly what
  264. 10:49we've done in the a age of agents,
  265. 10:52right? We've had this exponential token
  266. 10:54growth this year. 47 quadrillion tokens
  267. 10:58that are going to be produced. So it's
  268. 11:00not a question again of demand. Codeex
  269. 11:02users have grown 40x in the last eight
  270. 11:05months and knowledge work at enterprises
  271. 11:08if you look at the median amount that
  272. 11:10enterprises are spending about 17x over
  273. 11:13the course of the last 18 months and
  274. 11:14I've talked to many people in the
  275. 11:16audience here small businesses medium
  276. 11:18businesses large businesses businesses
  277. 11:20like alimter we can't operate our
  278. 11:22business without buying AI so this is
  279. 11:26not overly surprising to me and when we
  280. 11:29think about the productivity dividend to
  281. 11:30the economy me. You know, if you look at
  282. 11:332015 to 2025, EPS growth was about 10%.
  283. 11:38That was 6% revenue plus about 38 bips
  284. 11:41of margin expansion every year out of
  285. 11:42the NASDAQ. So, here's the question. Can
  286. 11:45we turn the 38 bips to 100 bips of
  287. 11:47margin expansion because of AI? The
  288. 11:50answer is obviously yes. Every company I
  289. 11:52talk to, Uber says we're going to grow
  290. 11:5420%, we're not going to grow headcount.
  291. 11:56Snowflake says we're going to grow 30%,
  292. 11:58we're not going to grow headcount.
  293. 11:59That's what's happening. That is margin
  294. 12:01expansion. The single largest cost input
  295. 12:03to every one of these companies are
  296. 12:05humans and engineers. It's not that
  297. 12:07they're going to fire everybody. They're
  298. 12:08just not going to hire them at the rate
  299. 12:09that they hired him before. And then of
  300. 12:11course, we're going to have consumer
  301. 12:12agents in everybody's pocket. You may
  302. 12:14remember this bet I had with Bill. You
  303. 12:16know, when are we going to be able to
  304. 12:17book a hotel using your consumer agent
  305. 12:20in your pocket? I think we've just
  306. 12:21gotten that with Muse and with Instinct.
  307. 12:24This could be another trillion dollar
  308. 12:26category, but it's definitely going to
  309. 12:27consume massive tokens. Here are the
  310. 12:31three risks and challenges. And sorry
  311. 12:32I'm going so quick, but I want to keep
  312. 12:34it keep it moving. Regulation. We heard
  313. 12:37a lot about this yesterday. Power. And
  314. 12:40then what's going on with interest
  315. 12:42rates? So, you know, this is the
  316. 12:43regulation tugof-war,
  317. 12:45right? Um, and I I've heard from a lot
  318. 12:48of people, they're like, you're on both
  319. 12:49sides of the issue. Here's the fact,
  320. 12:52okay, the answer is not going to be on
  321. 12:55one end or the other. We're going to
  322. 12:58have to have common sense, pragmatic
  323. 12:59solutions that get my mom, my sister,
  324. 13:02and the br brother off the cliff, right?
  325. 13:05We need to give comfort and confidence
  326. 13:07to the people who elect our
  327. 13:09representatives that it's safe. And so,
  328. 13:11you heard Elon yesterday give a great
  329. 13:13suggestion around peer review. So, I'm
  330. 13:15confident that we're going to get there,
  331. 13:17but it's kind of messy the sausage
  332. 13:18making along the way. But we have a
  333. 13:21prior history of excess regulation. When
  334. 13:24people get scared, when activists start
  335. 13:27pushing an agenda, we shut down 67
  336. 13:30fision reactors in this country. We
  337. 13:32unilaterally disarmed against China.
  338. 13:35It's been a disaster for the country.
  339. 13:37Right? All the clean energy we could
  340. 13:39have gotten. Instead, we've gotten
  341. 13:41non-clean emissions because we had a
  342. 13:43group of activists who were hellbent on
  343. 13:45shutting down nuclear. can't allow this
  344. 13:47to occur to AI.
  345. 13:53So regulation's a threat. It's a risk.
  346. 13:57Atoms and energy are hard. So getting
  347. 14:00back to can we stand up 43 gawatt of
  348. 14:02compute. Our total compute in the
  349. 14:04country is less than 40 gawatt. Doing
  350. 14:06this in one year, we've got to overcome
  351. 14:08permitting and local opposition. You
  352. 14:10guys see all of that. grid
  353. 14:12interconnection delays, skilled labor
  354. 14:14shortages, power equipment is sold out.
  355. 14:16It's the largest buildout in the history
  356. 14:18of the country. I would suggest Dylan's
  357. 14:20forecast to 43 gawatt next year is too
  358. 14:23aggressive. I don't think we're going to
  359. 14:25get there. I think the total amount
  360. 14:27we're actually going to stand up is
  361. 14:28somewhere closer to 25 gawatt. And I
  362. 14:31think of that 25 gawatt, half of it will
  363. 14:34be for anthropic and open AI.
  364. 14:38Um I think that's enough to generate the
  365. 14:41revenue. Remember Anthropics revenue
  366. 14:43reportedly this year 100 billion 110
  367. 14:46billion. If they do that they're doing
  368. 14:48it with a gigawatt and a half of
  369. 14:49compute. So if they add another four or
  370. 14:52five gawatts of compute that's certainly
  371. 14:54enough to add another 100 billion in
  372. 14:56revenue. So I don't think we need more
  373. 14:58gigawatts to get to the revenue targets
  374. 15:01for next year. But this is my hunch that
  375. 15:03we're not going to get to the 43.
  376. 15:05And then of course we're going to hear
  377. 15:07more tomorrow. I think rate hikes are
  378. 15:08coming. I think it's now over 90% chance
  379. 15:10that we're going to have rate hikes
  380. 15:12tomorrow. Why does this matter? Because
  381. 15:13all of this now borrowed money, right?
  382. 15:16We're borrowing money in order to stand
  383. 15:17up these data centers. So the hurdle
  384. 15:19rate for that money is going up. And um
  385. 15:23so that's not only a challenge for data
  386. 15:25centers, but remember, you know, as
  387. 15:27Warren Buffett says that, you know,
  388. 15:29interest rates are to stocks what
  389. 15:32gravity is to matter,
  390. 15:34right? Right? If you can earn 5 1.5 or
  391. 15:366% on your money without taking equity
  392. 15:39risk, then you know it's going to be a
  393. 15:41challenge for stocks. So, here's where I
  394. 15:43think we are and we're going to end on
  395. 15:45this slide and and then then we'll bring
  396. 15:47the guys out and chop it up a little
  397. 15:48bit. But this is the flight path. This
  398. 15:50is how I think about managing the
  399. 15:51portfolio, right? We're up about the
  400. 15:55NASDAQ's up about 15%. But as I sit here
  401. 15:58and think about the risk, do I want to
  402. 15:59be small, medium, or large? This is how
  403. 16:02I think about the fan of potential
  404. 16:03outcomes. If the monthly AI lab revenues
  405. 16:06are closer to that$8 billion number, I
  406. 16:09think it's takeoff. Okay. I think we are
  407. 16:11going to see an IPO this year. Um, and
  408. 16:14so I'm paying very close attention to
  409. 16:17what in fact are those monthly revenue
  410. 16:19numbers. I think the trends are intact,
  411. 16:21but we will see. That's going to be the
  412. 16:22single most important thing as to
  413. 16:24whether or not uh between now and the
  414. 16:26end of the year uh we we have liftoff.
  415. 16:28Second one is rates, the election, oil
  416. 16:30prices. Obviously, rates are following
  417. 16:32oil prices to a certain extent. So, what
  418. 16:35happens there? You know, if rates were
  419. 16:37to go to five and a half on the 10-year,
  420. 16:38that's going to be a big burden uh you
  421. 16:41know, on on the equity market. Then
  422. 16:43finally, the regulation, the anthropic
  423. 16:45IPO, we saw a trade down yesterday
  424. 16:47because people are concerned that maybe
  425. 16:49we're going to have a halt or or
  426. 16:50postponement. That would obviously be a
  427. 16:52major issue. I don't think that's going
  428. 16:54to happen, but again, that would be a
  429. 16:56concern. So that's the fan of potential
  430. 16:58outcomes. From here we're up 15%.
  431. 17:01I think we could go higher uh you know
  432. 17:03through the balance of the year. Uh or
  433. 17:05we could go lower. I'll leave you with
  434. 17:07this.
  435. 17:08The period of 2023 to 2025, you only had
  436. 17:12to get one thing right. That AI was
  437. 17:15going to be the biggest super cycle in
  438. 17:16the history of technology. And you
  439. 17:18needed to shove your chips into the AI
  440. 17:19trade. That's it. Right? If you were in
  441. 17:22the AI trade, you made money. That is
  442. 17:24not where we are in 2026. Everybody
  443. 17:26knows about AI. It's all priced now.
  444. 17:29It's about facts and circumstances. Stay
  445. 17:32mentally flexible. Follow the facts.
  446. 17:35Don't yolo. Okay? Don't go forex like
  447. 17:38our friend up north who uh gave all his
  448. 17:40money to Citadel, right? Um Forex
  449. 17:44levered in this market, you know, very
  450. 17:47dangerous. So, in my estimation, we're
  451. 17:50medium position. We're mentally
  452. 17:52flexible. If we see those revenues come
  453. 17:54in big for these next few months and we
  454. 17:57see oil prices retreat, we're going to
  455. 17:59put more chips on the table. If not,
  456. 18:02we'll, you know, we'll reserve the right
  457. 18:03to go even smaller. With that, thank you
  458. 18:05all. Thanks for having me.

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