On July 24 He Called It a 'Strategic Entry Window.' On July 30 the Fund Was Force-Liquidated.

On July 24, Leopold Aschenbrenner wrote to his investors and called the ongoing sell-off in AI stocks a “strategic entry window.” He invited them to add capital on August 1.

On July 30, his fund was force-liquidated. Citadel took the entire public-market book — about $16 billion — at a discount, in under 36 hours.

On July 31, the stocks that had been sold rose 25.99%, 21.51%, and 26.49%.

In his last letter he wrote: “We let you down this month.”

I. He Wasn’t Selling a Fund. He Was Selling an Essay.

Aschenbrenner was born in 2001. He graduated from Columbia at 19, first in his class. In April 2024, OpenAI fired him. He was 22.

The two sides tell different stories about why. OpenAI said it was a leak — he shared a brainstorming document with three outside researchers. He says the real reason was a memo he circulated internally arguing that the company’s security measures could not support AGI-level research.

Two months later, on June 4, 2024, he published a set of essays at situational-awareness.ai. The core argument extrapolated the scaling laws outward: at this rate, AGI around 2027 is possible, followed by an “intelligence explosion” leading to superintelligence.

The piece went everywhere in 2024. Its force didn’t come from new data. It came from a clean chain of reasoning: stronger models → more compute → more chips, more memory, more data centers, more power. Every link landed on a specific public company.

In September 2024, he launched a fund named after the essay: Situational Awareness LP.

That is a rare structure — a fund with the same name as its thesis. Most managers leave themselves an exit. The strategy can shift, positions can rotate, the name stays neutral. He didn’t. The name of the fund was the call itself.

By early July 2026, the fund ran $45 billion. Cumulative return since inception in September 2024: more than 2000%. The first half of 2026 alone: 439%.

A young man fired by his employer in 2024 turned one essay into that number in under two years. Before July, it was the best story on Wall Street.

II. What He Was Long Got Repriced on July 30

The longs were SanDisk, CoreWeave, Bloom Energy — that family. The shorts were software, at scale.

Those three names weren’t arbitrary. Each maps to a link in the essay’s chain:

• SanDisk — storage. Bigger models mean parameters and context eat more memory.
• CoreWeave — GPU cloud. Compute itself, sold by the hour.
• Bloom Energy — fuel cell power generation. Once the data centers go up, the next bottleneck is electricity, and the grid cannot add capacity as fast as you can add racks.

From model capability all the way down to power generation equipment, with no step skipped. It was a position sheet that translated a paper into tickers, line by line.

The long/short logic was just as clean: compute and power are scarce, so the shovel sellers make money; software is what AI disrupts, so it gets replaced first.

On July 30, Microsoft reported.

I wrote about that print the day before: Azure growth accelerated from 40% to 43%, but capex guidance for calendar 2026 came down from about $190 billion in April to about $175 billion. Microsoft added roughly $450 billion in market cap that day, a single-day record for US equities.

Good for Microsoft. Fatal for Aschenbrenner.

Because the $15 billion Microsoft said it would no longer spend was exactly the thing the SanDisks of the world sell. Amy Hood’s reasons for the savings: efficiency gains across the CPU and GPU fleets, process improvements in bringing capacity online. Translated: same demand, less hardware to buy.

Microsoft’s own explanation for the $190 billion in the April guide was that memory prices were spiking. Three months later it said it wouldn’t need to spend that much. What that sentence means to a man 4x levered long memory needs no explanation.

The same week, Meta raised capex, free cash flow collapsed to $784 million, and the stock fell 9%. Apple fell 7% to 8% after earnings, and Tim Cook, on the last earnings call of his tenure, said there was a “hundred year flood” in memory chip pricing.

The whole market spent those days asking the same question: when does the money going into AI infrastructure turn into revenue.

Situational Awareness was the most levered answer to that question.

Leverage ran close to 4x at one point, provided by Bank of America, Goldman Sachs, and JPMorgan.

The Worse Problem: The Short Book Was Wrong Too

What a long/short book fears is not losing on one side. It’s losing on both at once.

His short thesis was that AI eats software — large models can write code, do design, produce copy, so the companies selling those capabilities get replaced first. That call was popular in 2024 and 2025, and it did make money.

July knocked the whole thing over. In a single week the market delivered two conclusions: AI infrastructure may be overbuilt, and the software companies are not dead. Neither conclusion is exotic on its own. Stacked together, they are precisely the two opposites of his book.

The long side fell because people started doubting the payback period on hardware spend. The short side rose because people noticed that the most aggressive AI-disruption narrative had not shown up in anyone’s numbers.

A long-only fund loses money in that tape but survives it. A long/short book getting hit on both sides at 4x leverage does not. A margin call doesn’t look at your annualized return. It looks at today’s NAV.

III. Six Days

The timeline does most of the work:

Down 67% in the month of July. Assets held by the fund went from $45 billion in early July to about $10 billion on July 30.

He was liquidated at the low, and the low bounced more than twenty percent the next day.

That isn’t bad luck. The mechanics of a margin call guarantee it happens near the low — the prime broker doesn’t ask for money when you’re comfortable. 4x leverage means your call has to be right every single day, not eventually.

Aschenbrenner put part of the blame on short sellers targeting the fund’s positions, saying they amplified the losses, and compared what happened to a “bank run.” The analogy has something to it: a run doesn’t require the bank to be insolvent, only that everyone wants their money at the same time. But a run can only happen if you borrowed short to do something long.

He told investors the fund has now removed all leverage from the book.

One detail deserves a separate look: who was on the other side of the trade.

The buyer of that roughly $16 billion book was Ken Griffin’s Citadel, at a discount. The next day the same stocks rose more than twenty percent. Which means the same assets, on the same fundamentals, were worth one price on July 30 and another price on July 31, and the difference wasn’t in the companies. It was in who was getting margin-called.

That is the entire difference between a forced sale and a chosen purchase. One party has to trade today. The other gets to trade today. The first one’s price is set by the second.

The 2000% cumulative return and the 439% first half look different in hindsight, too — not just as a record. Returns like that pull capital in as fast as capital can move, and the moment capital comes in hardest is usually the moment closest to the top. The $45 billion peak landed in early July, three weeks before the liquidation. Size itself became part of the risk: the bigger the position, the harder it is to cut without moving the tape against yourself.

IV. His Call May Well Have Been Right

That’s the part of this that’s hard to sit with.

Look at the evidence on the demand side right now:

• Amazon’s Q2: AWS revenue of $42.2 billion, up 37% year over year, the fastest in 18 quarters; operating income $16.6 billion, up 64%; backlog of $496 billion. Jassy said 2026 capacity still won’t be enough to meet all demand and 2027 probably won’t either, and the company raised its 2026 capex budget from $200 billion to $220 billion.
• Microsoft’s Amy Hood said demand continues to exceed available supply.
• Cook called memory chip pricing a “hundred year flood.”

Not one of those three contradicts Aschenbrenner’s essay. Compute is tight, memory is tight, power is tight. The chain he drew in 2024 still holds on the demand side today.

What would actually falsify the essay is demand collapsing on its own — large customers walking away from signed contracts, compute orders getting canceled, racks sitting empty. None of that has shown up. What got repriced in the week of July 30 wasn’t demand. It was how much you have to spend to catch that demand.

He didn’t lose on direction. He lost on time.

A correct long-term call, plus a short-term deadline you don’t control, equals a wrong position. Leverage is that deadline — it compresses “will be right eventually” into “has to be right every day.” On July 30 he didn’t need to be wrong. He only needed to be late.

V. This Is the Same Structure a Product Manager Lives In

What I build is about as small as it gets, and none of it is comparable to $45 billion. But the structure is familiar, and it should be familiar to anyone who builds product.

A correct roadmap, plus a launch date that can’t slip, plus a resource commitment that can’t change — that is leverage.

You get a direction right, so you commit early: you hire, you kill other projects, you promise your boss a date. If that direction pays off six months later than you expected, your call is still right, but you’re no longer in the room. The team gets reassigned, the project gets cut, and the person who eventually proves you correct isn’t you.

Two things here are worth pulling apart.

First, don’t confuse “I called it right” with “I can survive until then.” The first runs on insight. The second runs on cash flow, on managing duration, on how much slack you left yourself. Most people spend 90% of their energy on the first and 10% on the second.

Second, be careful when your position and your narrative share a name. Aschenbrenner naming the fund Situational Awareness was the strongest possible signal during fundraising — I believe this call so completely that I named myself after it. The same fact becomes the heaviest possible shackle in a drawdown: cutting the position means admitting the essay was wrong. The “strategic entry window” in the July 24 letter reads less like a man managing his risk than like a man protecting his thesis.

Product managers have an exact equivalent. When a proposal becomes “your proposal,” when a bet is written into your annual goals, when everyone on the team knows whose push this is — the cost of adjusting it stops being a technical cost and becomes an identity cost. From that moment on you start finding reasons for it instead of finding an exit from it.

My own approach is crude: I write the call and the position in separate places. The call goes in one document, written as hard and as specific as I can make it, including what evidence would overturn it. The commitment goes in another, including how much I plan to pull back if it hasn’t paid off by a certain date. They live apart so the second one isn’t colored by the first one’s feelings. It’s not a sophisticated trick, but at least when I change my mind, I don’t have to start by admitting I’m an idiot.

VI. It Isn’t Over

The fund didn’t blow up.

What was force-liquidated was the public-market book. The private positions weren’t sold, and those include equity in Anthropic. The leverage is fully removed. He still has money, still has positions, still has the essay.

So the real open question is this: if 2027 actually arrives, if that chain of reasoning from the scaling laws is eventually paid off, the essay published on June 4, 2024 will be proven right — but the investors whose positions were sold at a discount on July 30 will not be there to share in it.

I don’t know how to land a conclusion on this one. A person can be right on direction and wrong on timing, and the market only settles the second one. That’s not a new lesson. But watching it play out over six days at a scale of $45 billion is still hard to look away from.

As for today — August 1, the day he had invited his investors to add capital.