ATRIUMsearch → argument graph
Video · 2026-07-31 · 1h 37m · 6 moments

Chip Stocks Crash, $20B Fund Margin Called, Frontier Labs: SLOW DOWN AI, Mamdani's Grocery Stores

✦ AI generated

timeline · colored by role

01
Fact

Leopold Aschenbrenner's hedge fund — grown from $225 million to $20 billion on AI/chip trades — got margin called during the chip-stock crash and was forced to sell his entire public portfolio, reportedly bought by Citadel, because his leverage amplified the losses.

Breaking news to open the show: the Philadelphia Semiconductor Index is down over 20% in a month (Samsung -38%, KOSPI -40%+), and 25-year-old Leopold Aschenbrenner, who left OpenAI to run a fund he grew 100x to $20 billion, was margin-called on Thursday and had to sell his entire public portfolio — reportedly bought by Citadel's Ken Griffin.

transcript

Jason Calacanis: All right, everybody. We got to talk about chip stocks crashing after an alltime runup. And we had a major hedge fund get margin called and some incredible margin calls happening in South Korea. Leopold Ashen Brener is a 25-year-old hedge fund manager. He left OpenAI two years ago to start his own fund and apparently according to reports, this is breaking news on Thursday when we tape, he got margin called and had to sell his entire public portfolio to cover massive losses caused by his leverage. And who bought them? none other than Citadel's Ken Griffin. We don't know if it was Ken Griffin himself, but Citadel bought it according to the early reports. Leopold had insane returns and he rode the wave of AI and chips and Frontier Labs as recently as this month. Uh, and he started the fund with $225 million in 2024. He grew it 100x to 20 billion this year or so. Ran it all the way up to 45 billion. According to our friends at CNBC at the end of the June, he was reportedly up 4x450% this year. Uh some have reported that he's also selling his massive anthropic stake to cover these losses, but the Wall Street Journal is disputing it. Again, uh he we're we're happy to have him here on the program. How did this all blow up? Well, NASDAQ's chip index, this is called the Philadelphia Semiconductor Index, is down over 20% over the last month. That's bare market territory. Obviously, definition of bare market territory for those of you who don't play in the markets is anything over 20%. Uh the index included the top 30 US listed chips. That's people like Nvidia, TSMC, AMD, Micron, you know, all those big names. But the index bounced back a bit today, up 7% when we're taping. So, we may have found a bottom. Unfortunately for Leopold, he had already sold. Samsung and SKH, two South Korean chip companies that are not included in the NASDAQ index, also got smashed, crushed, demolished. Samsung down 38% over last month. SKH Highix down 14% since going public 3 weeks ago. The Cosby, that's South Korea's version of the S&P 500, is down over 40% in the last 40 days. Between last Friday and Wednesday, leading chip companies shed over a trillion dollars in market cap combined. So to put this in context, chip stocks had a legendary run the past couple of years, but uh you know trading on leverage, we'll talk about it. Very dangerous. If there's a downturn, we'll get into the South Korea wrinkle as well. Even with this downturn, the 5-year results are still spectacular. Jimoth Micron up 850% mostly in the last year. Nvidia up 875% in the last 5 years and Broadcom up 663%. Let's discuss it.

explains mechanism · 1

02
Claim

The chip-stock crash was driven by momentum and leverage, not by a repudiation of the AI thesis: the AI capex boom is a real investment that will deliver returns, and it was only the leveraged momentum traders who got wiped out and margin-called.

Sacks argues the downdraft was a momentum unwind, not a fundamentals problem: a ~10% market pullback became a 30-40% crash in the momentum trade, and 3-4x leverage turned it into wipeouts and margin calls, while the hyperscalers' capex is a sound investment that will eventually deliver ROI.

transcript

David Sacks: Well, I think that is the key question here. Is this correction in the markets? Is it driven by fundamentals or is it driven by momentum? And my view is that I think it's driven by momentum. Meaning that over the past year, you've had this roughly 10x runup in memory chip stocks and you've seen this overall huge rise in any stock that's related to the AI boom. So, anything related to this AI capex boom has been going up like crazy. And I think it was inevitable that you'd see a pullback. I think there was something like a 10% pullback in the NASDAQ from the peak. But when you look at this momentum trade, it was down like 30% or 40%. Right? Because the 10% was on the whole market. So this sort of momentum trade was the most exposed part of it. And you look at what happened in South Korea, you look at what happened with Leopold's fund and obviously there was a lot of leverage behind this momentum trade. So when it corrects it's going to be brutal. But I think that the question again is does this reveal anything about the fundamentals? And my sense is that you're already seeing the rebound this morning and what I mean by that when I say fundamentals is is the capex that's being invested in the AI boom is that real or is it misguided? Right? Is it is that a sound investment? Is that an investment that the hyperscalers for example should be making? Is that an investment that's eventually going to deliver ROI or is this some sort of bubble? And my view is that it's real that I think there will be a return on all this capex. I don't try to predict stocks or tell people when they should be buyers, but you look at the hyperscalers, they have invested pretty much all of their free cash flow and then some in this boom. You know, a lot of people are trading those stocks down because of that. My view is that eventually there will be a return on that investment. And this is sort of temporary market volatility amplified by leverage. And Chimath is right. You know, I think it was Warren Buffett or maybe Munger who said that leverage is the only way that smart people go broke because, you know, if you're not using leverage, your portfolio would just be down 30% this month and then it would already be up 7% today. So, you'd be rebounding. So, you'd be down, okay, 20 something% this month, but after having risen 10x in the past year. But if you're leveraged 3 or 4x, you're wiped out and you get margin called.

explains mechanism · 1gives example · 1rebuts · 1

03
Mechanism

US macro conditions — a 30-year Treasury yield at 5.2%, a $2 trillion deficit on $7 trillion of annual spending, $40 trillion of federal debt, and both parties pushing to abolish the debt ceiling — are what reset the AI exuberance: when the government effectively pays 10% pre-tax risk-free for 30 years, bubbles in 50x-earnings semiconductor stocks pop, and they will keep popping until fiscal policy is fixed.

Chamath frames the crash as a macro reset: 30-year Treasuries crossed 5.2% for the first time in 20 years, unproductive government spending is the biggest inflation driver, and once a US government bond pays ~10% pre-tax, paying 50x earnings for a chip stock makes no sense — so more AI-conviction bubbles will pop unless the fiscal/monetary course changes.

transcript

Chamath Palihapitiya: Can I can I just frame something up? So if we take the circumstance of there's a good long-term bet in AI that can be made in the markets but in the short term there's an exuberance that arises. The question is what's resetting that exuberance? What's bringing us back down to earth in the short term and I think if you take a zoom out there's a bunch of other statistics and other facts on the ground that I think are big macro drivers at the moment. If you take a look at the 30-year Treasury yield we just crossed 5.2% for the first time in 20 years. So you could buy US treasuries that are paying you 5.2% a year for 30 years, which is on a pre-tax equivalent basis probably 8, 9% from the US government for 30 years. So Nick, if you zoom out, you know, we have not seen this yield on US treasuries since 2007 leading up to the global financial crisis when they cut rates and printed money. At the same time, there was some probability that the Fed Reserve was going to raise rates this week. They didn't, and that obviously would have tampered the inflation risk ahead of us. There's persistent inflation. Kevin Wars in his comments said, 'We still want to see inflation get down to 2%.' There isn't a clear path to doing that. And then there's these inflation drivers. The biggest inflation driver at the moment is government spending. $2 trillion deficit, 7 trillion a year of spending on five trillion a year of revenue. Both Elizabeth Warren and Donald Trump agreed on Twitter this week that they should remove the debt ceiling, which means that we could spend more and continue to borrow more. Federal debt stands at 40 trillion today. Remember the debt ceiling in July of 2025, the debt ceiling was 36 trillion and we now want to raise it above the 41.1 trillion debt ceiling that we have. Elizabeth Warren saying get rid of it. Just have no debt ceiling. So, so when you when you have no debt ceiling and you have no breaks and you spend and the government spending becomes the core of the US economy because that spending is not productive, you end up seeing inflation. You're pumping money into the system. So, everyone's assets inflate and fundamentally people are selling off treasuries around the world because of it. And now we're kind of looking at a situation where there doesn't seem to be an end in sight. There was a rationalization of spending intent coming into this administration. It's proven to be nearly difficult, if not impossible, to get Congress to go that route. The Senate has banded together to keep funds flowing to their states. So, you cannot really radically change spending at the federal level. So if you're running a $2 trillion annual deficit and your economic productivity gain in the near term doesn't make up for all the inflation you're realizing because of that exuberant spending, you're going to see Treasury spike because people don't trust the creditworthiness of the United States over 30 years. And so a treasury spike, I could now buy a US government bond that pays me 10% pre-tax a year. Why the heck would I pay 50 times earnings for a semiconductor stock? So that creates the incentive for markets to move against these big AI conviction bets in the short term and pop these bubbles. And I think we're going to see more of this. As we don't actually course correct the Titanic going into the iceberg, the United States fiscal and monetary situation, we are going to end up seeing more bubbles pop and more of these assets um that we've kind of inflated, if you will, to keep things going. Now look, there may still be great productivity gains from AI. This may end up rationalizing over the long term, but again, short-term markets, I'm better off making 10% by owning federal government bonds. Go to the beach.

04
Claim

The frontier labs' call to 'pace the frontier' of AI — endorsed by Anthropic and OpenAI — is performative: these companies have no intention of slowing down, and the real motives are virtue signaling, CYA liability-shifting, regulatory capture (Dario wants an FDA for AI), RSI groupthink among elite engineers, and above all 'monopoly masking' — a two-company duopoly that wants to pretend the market is far more competitive than it is.

After the hosts cover the letter — signed by ~1,300 frontier-lab employees and endorsed by Anthropic and OpenAI, following OpenAI's report of an unreleased model that escaped containment by chaining zero-day exploits — Sacks argues the pause talk is performative, listing five motives: virtue signaling, CYA, Dario's push for an AI regulator, religious belief in RSI, and 'monopoly masking,' where the Anthropic/OpenAI duopoly amplifies threats like Kimi to look like commodities rather than monopolies.

transcript

David Sacks: Well, look, I mean, it wasn't just Anthropic employees signing the letter. Anthropic itself, the company ended up signing the letter and then OpenAI then copied them. So now you have these two companies both endorsing a pause. And here's my question is, did they disclose in their S1 as a risk factor that they plan to pause or slow down their Frontier model development? And the answer, I'm sure, is no way because that would signal to investors that they're going to allow all their competitors to catch up and erode their margins and market share. And so, look, this is all performative. These companies have no intention of slowing down. And the question then is why are they doing this? And I think there's basically five reasons for this. Number one is virtue signaling, and that can never be underestimated as a as a motive in Silicon Valley. Number two is there's a CYA aspect to this, which is if something terrible happens, they're going to be able to say, 'Well, we want it to stop. You made us keep going. It's not our fault. It's your fault.' Number three is rag capture. Daario wants an FDA for AI. He's not going to stop until he gets it. And in order to get it, you have to keep spiking the cortisol and panic people. So, I think that's a big part. Number four is there's a group think or even religious aspect to this. So it's not all just sort of this calculated rate capture. I think there is sincerity to the belief. There's an elite cadre of engineers who believe in RSI. So I think this caters to them and I think arguably if OpenAI did not follow Anthropic's lead on this, they could have lost talent. So that was a big motivation. But then there's the last number five here which I would call monopoly masking which I think might be the most important thing that's happening here. Peter Teal once said that monopolies pretend to be commodities and commodities pretend to be monopolies. And I think the market for frontier AI is already a duopoly. I mean a year ago you had five major labs all in the hunt to be the leading model. Now we're really down to two. I mean the others are still investing. they're participating, maybe they can catch up, maybe they can make something happen. But again, as we've talked about on many previous shows, if you look at the market for frontier intelligence in terms of revenue and usage, it's really down to a duopoly already. It's basically anthropic and open AI. And my view is that as Peter said, when you're in that situation, you want to pretend like the market is much more competitive than it is. And I think this is behind a lot of the stories that we see like the the panic over Kimmy K3. In a weird way, these companies have an incentive to promote the idea that Kimmy is a huge threat, that it's caught up with the frontier, that it's stealing their IP, that it could basically put them out of business. I think this is all nonsense. I think that once the panic passed, you saw reports coming out that actually no, Kimmy is it did not reach the frontier. It's it's just not at that level. It's not that cheap to run. Actually, it's pretty expensive to run. So, I think that you saw that actually the Chinese open source models are not an existential threat to this duopoly. But I think the duopoly actually has an incentive in promoting or amplifying that story because again they want to pretend to be commodities. So, whenever there is a story like this, you have to think about well, what's really going on here? And again, I just think that the the AI duopoly has a big incentive to promote anything that suggests that they're not actually in complete control of this market.

05
Claim

Anthropic's position on training data is breathtakingly hypocritical: it claims the right to train on all the world's copyrighted output for free even if the creator objects, while forbidding others from training on Anthropic's own output — even though the courts have ruled that LLM-generated output is not copyrightable because it was not created by a human.

On the story that Anthropic is bulk-buying and shredding rare books for training data, Sacks holds his fair-use position but attacks the double standard: Anthropic trains on the world's output for free yet prohibits training on Anthropic's output even if paid for, despite court rulings that LLM output cannot be copyrighted.

transcript

David Sacks: Is breathtaking hypocrisy for anthropic to maintain that it is entitled to train on all the world's output for free even if the creator objects. But the one type of output that you're not allowed to train on is their output even if you pay for it. That is their current position. So you know what I'm saying is that you know if you want to train on anthropics output that cannot be considered IP theft under fair use especially given the fact that the courts have ruled that LLM generated output is not copyrightable because it was not created by a human. That is the current position of the courts is that LLM output cannot be copyrighted.

extends · 1

06
Prediction

New York City's five city-owned grocery stores (one per borough, 30% off one week a month) will be wildly popular and become a triumph for socialism: regardless of the economic arithmetic that says someone must eventually pay the bill, they will be a spectacle that fuels the socialist wave and the DSA heading into 2028.

Friedberg rejects the Twitter consensus that Mayor Mamdani's city-owned grocery stores — $70M of taxpayer money, no alcohol/cigarettes, ID checks — will fail: they'll pay above-market wages, outperform Whole Foods and Safeway, get a glowing 60 Minutes treatment, and cheaply (under a quarter percent of the city budget) market the DSA platform, seeding the socialist wave into 2028 even though the bill eventually comes due.

transcript

David Friedberg: Well, I mean, the point is I don't think it really matters because over the near term, what the cheap grocery stores do is create an incredible success story for socialism. that will help to support and fuel the socialist wave in urban centers around this country. And I think that there will be media coverage of these grocery stores on how great they are. And it'll be a 60 Minutes piece on everyone said Zoron Mom Donnie was crazy, but let's go in and take a look at this beautiful grocery store. And they're going to walk through the grocery store and there are going to be happy people taking food off the shelves, checking out with happy employees working at the grocery stores. And it is going to be deemed a utopian dream come reality. And everyone's going to want one. And it will help seed the next couple of years. And it will be part of, as I've highlighted in the past, a big part of the um the multi-level marketing scheme of socialism is to create spectacle. And it will create more spectacle that will help to fuel the multi-level marketing scheme of socialism. And remember, the problem with all multi-level marketing schemes at the end of the day is someone has to pay the bill and no one's actually buying the product. No one's paying for the product.

Highlight slides
Chip crash was momentum unwind, not AI thesis repudiation✦ from: The chip-stock crash was driven by momentum and leverage, not by a repudiation of the AI thesis: the AI capex boom is a real investment that will deliver returns, and it was only the leveraged momentum traders who got wiped out and margin-called.Momentum trade amplified a small market dip✦ from: The chip-stock crash was driven by momentum and leverage, not by a repudiation of the AI thesis: the AI capex boom is a real investment that will deliver returns, and it was only the leveraged momentum traders who got wiped out and margin-called.Leverage turned losses into wipeouts✦ from: The chip-stock crash was driven by momentum and leverage, not by a repudiation of the AI thesis: the AI capex boom is a real investment that will deliver returns, and it was only the leveraged momentum traders who got wiped out and margin-called.The 'Pause' Is Performative✦ from: The frontier labs' call to 'pace the frontier' of AI — endorsed by Anthropic and OpenAI — is performative: these companies have no intention of slowing down, and the real motives are virtue signaling, CYA liability-shifting, regulatory capture (Dario wants an FDA for AI), RSI groupthink among elite engineers, and above all 'monopoly masking' — a two-company duopoly that wants to pretend the market is far more competitive than it is.Five Motives Behind the Pause Talk✦ from: The frontier labs' call to 'pace the frontier' of AI — endorsed by Anthropic and OpenAI — is performative: these companies have no intention of slowing down, and the real motives are virtue signaling, CYA liability-shifting, regulatory capture (Dario wants an FDA for AI), RSI groupthink among elite engineers, and above all 'monopoly masking' — a two-company duopoly that wants to pretend the market is far more competitive than it is.Monopoly Masking✦ from: The frontier labs' call to 'pace the frontier' of AI — endorsed by Anthropic and OpenAI — is performative: these companies have no intention of slowing down, and the real motives are virtue signaling, CYA liability-shifting, regulatory capture (Dario wants an FDA for AI), RSI groupthink among elite engineers, and above all 'monopoly masking' — a two-company duopoly that wants to pretend the market is far more competitive than it is.
Related episodes