The sudden collapse of a $20 billion AI fund reveals why Bitcoin is the first thing Wall Street sells when margin calls hit

A $20 billion AI hedge fund gained 439% through June, lost roughly two-thirds of its value in July, and sold most of a $16 billion public-stock portfolio as leverage turned against it. The collapse offers a warning for Bitcoin: when Wall Street needs cash quickly, the first asset sold may not be the one that caused the loss, but the one still trading.

Leopold Aschenbrenner built one of Wall Street’s most persuasive investment pitches. The former OpenAI researcher argued that artificial intelligence was advancing fast enough to reshape energy, national security, computing, and nearly every large industry, then built a hedge fund around the companies supplying that future.

Situational Awareness invested in chips, power, storage, data centers, and other infrastructure expected to support the AI boom. The thesis initially worked almost too well: the fund gained 439% from the start of 2026 through June and grew to manage roughly $20 billion.

Then in July, it lost about 67% of its value.

The fund eventually sold most of a public-equity portfolio once estimated at $16 billion to Ken Griffin’s Citadel. Reported holdings included Broadcom, Intel, and CoreWeave, all closely linked to the enormous buildout behind AI.

Reuters reported that it wasn’t clear whether Situational received a formal margin call before the deal, but its portfolio included positions financed with borrowed money, and the fund faced pressure to raise capital or reduce exposure. The Financial Times separately reported that prime brokers were demanding more collateral from hedge funds concentrated in falling AI stocks.

Situational’s belief in AI didn’t have to be disproved for its trade to break: its lenders only had to become uncomfortable before the expected returns arrived.

That raises an uncomfortable question for Bitcoin: what do investors sell when an AI loss creates a cash demand, but the assets they would prefer to unload are difficult to move or unavailable until Wall Street reopens?

A margin call turns conviction into a deadline for AI funds

Hedge funds can borrow money to buy more assets than they could afford with cash alone. Borrowing magnifies gains during a rally, but it can also allow an otherwise manageable decline to tear through a fund’s capital rapidly.

Imagine a fund starting with $100 of investor money. It borrows $300 from a bank and buys $400 of AI stocks. A 10% decline creates a $40 loss. The portfolio is still worth $360, but the bank is still owed $300, leaving the fund with $60 of its original capital.

The stocks lost only 10%, but the fund’s equity fell 40%.

The lender doesn’t have to watch the remaining $60 disappear. It can demand more cash, ask for safer collateral, or require the fund to sell positions and repay part of the loan. That demand is called a margin call.

Large banks such as Goldman Sachs, JPMorgan, Bank of America, and Citigroup provide this financing through their prime-brokerage businesses. They also hold assets, process trades, and monitor whether each fund still has enough collateral to protect the loan.

Their risk departments aren’t judging whether an AI forecast will prove correct in 2030. They’re focused on whether the fund can repay its borrowing next week, not on the long-term outlook of the industry or the assets in which their clients are invested.

That’s why leverage essentially puts every investment on two different clocks. One measures how long the idea needs to work; the other measures how long its financing can survive while prices move in the wrong direction.

The AI unwind in five numbers

The first two percentages create a result that looks less severe than the financing strain underneath it. An illustrative $100 investment that gains 439% reaches $539; a subsequent 67% decline leaves about $178.