In July 2026, one of the most successful hedge funds in recent memory lost two-thirds of its value in a single month.
Situational Awareness LP had returned over 1,000% since launching in 2024. It was run by a 25-year-old former OpenAI researcher named Leopold Aschenbrenner, who had spent years publicly arguing that AI infrastructure spending was going to be far larger than the market expected. He was right. The fund backed that thesis aggressively, using approximately 4x leverage on its AI and semiconductor positions.
In July, those positions fell 35% to 47%. At 4x leverage, that kind of move does not just hurt. It triggers margin calls from your lenders. Goldman Sachs, JPMorgan, and Bank of America all came calling. The fund was forced to sell its entire public portfolio to Ken Griffin’s Citadel on July 30, at a steep discount, in the middle of the selloff. (Source: Axios; Crypto Briefing)
The thesis may still be correct. The public portfolio is gone.
This is one of the oldest lessons in markets, captured in a quote from the economist John Maynard Keynes: “The market can stay irrational longer than you can stay solvent.”
Being Early Is Not the Same as Being Right in Time
Aschenbrenner was not wrong about AI. The build-out he predicted is happening. But the market spent July pricing AI stocks down sharply, without caring about the long-term thesis. And when you are running 4x leverage, the market’s short-term mood is not just noise you can ignore. It is a countdown.
This is the part that trips up a lot of investors, not just professionals. You can be correct about an idea and still lose money on it if your position structure forces you out before the market comes around.
Being early and being wrong can produce the same result.
What This Actually Means for You
The Situational Awareness story involves a level of complexity that most investors will never encounter. But the underlying lesson is not complicated, and it applies whether you are managing $20 billion or $20,000.
Time in the market beats timing the market
The reason this phrase gets repeated so often is that it is consistently true. A long-term investor in a diversified index fund does not face margin calls. They do not get forced out of their position at the worst moment. They can afford to wait.
The investor who put money into a broad global ETF in early 2022, watched it fall, and held through the recovery did not need to be right about the timing. They just needed to stay in. The power of compounding only works if you are still invested when the recovery arrives.
That is exactly what Situational Awareness could not do. The leverage removed their ability to wait. And waiting was the one thing the trade actually required.
Diversification is what keeps you in the game
A concentrated bet on one sector at 4x leverage is the opposite of a diversified portfolio. When AI stocks fell, there was nothing in the portfolio to cushion the blow. The whole book moved in one direction.
Diversification is not about maximising returns. It is about surviving the moments when part of your thesis is temporarily wrong, or temporarily early, so that you are still invested when it resolves. A portfolio spread across geographies, sectors, and asset classes can absorb a sharp move in AI stocks without forcing you to sell anything.
The fund had none of that cushion. One sector, one direction, maximum leverage.
Leverage is only useful if you can survive it going against you
Borrowing to invest amplifies both gains and losses. Most people understand this in theory. What is harder to internalise is how leverage changes the timeline.
Without leverage, a 35% drawdown is painful but survivable. You hold, the position recovers, the thesis plays out. With 4x leverage, the same drawdown can wipe out your entire equity and trigger forced selling before you ever get to find out if you were right.
For most investors, leverage is simply not necessary. A diversified portfolio invested consistently over time, without leverage, has historically built wealth reliably. Adding leverage does not improve the long-run expected return as much as it compresses your margin for error.
Dollar-cost averaging is the structural alternative. Investing a fixed amount every month, regardless of what the market is doing, removes the need to be right about timing and removes the forced-selling risk entirely. It is the opposite of what Situational Awareness was doing, and that is the point.
The Lesson Is Not That the Thesis Was Wrong
This is important. The lesson from Situational Awareness is not that you should avoid AI stocks, or that concentrated bets always fail, or that ambitious fund managers are reckless.
The lesson is that a great idea, held in the wrong structure, can still end badly. And the right structure for most investors is simpler than it sounds: diversified, low-cost, no leverage, and invested for long enough that short-term market moves do not force your hand.
Keynes made his observation about markets staying irrational after losing a significant portion of his own fortune by being early, correct, and unable to wait long enough. He understood it not as an academic point. He lived it.
The investors who ultimately benefit from correct long-term theses are often not the ones with the earliest, sharpest conviction. They are the ones who were positioned broadly enough to still be invested when the thesis resolved.
For a deeper look at how sharp market moves like July’s AI selloff fit into longer cycles, our sector rotation article covers why different parts of the market lead and lag at different times. And for the broader question of how to think about risk in your own portfolio, our investment risk for beginners guide is the right starting point.
Disclaimer:
The content on this blog (Zorroh) is provided for general informational and educational purposes only. It is not intended as investment, financial, tax, legal, or other professional advice. Past performance is not indicative of future results. Investing involves risk, including possible loss of principal. Always conduct your own research or consult a qualified professional before making investment decisions.