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Situational Awareness's $45B AI Hedge Fund Wiped Out by Margin Calls

Forum topic · QianXun · 2026-08-24

Summary

Situational Awareness LP, the AI-focused hedge fund founded by former OpenAI researcher Leopold Aschenbrenner, was effectively wiped out during July's AI stock crash. The fund had gained 439% in the first half of the year and swelled to roughly $45 billion in assets under management before collapsing within a month. Its strategy—running approximately 4x leverage long on AI infrastructure suppliers like SK Hynix, Micron, Sandisk, Nebius, CoreWeave, and Bloom Energy while shorting software names like Adobe—suffered a double-sided loss when chip stocks plunged and software stocks rebounded. Margin calls from Bank of America, Goldman Sachs, and JPMorgan forced the fund to sell its public equity portfolio to Ken Griffin's Citadel for over $10 billion on July 30. Ironically, the fund liquidated at the bottom, as AI hardware stocks rebounded sharply the next day. The fund retains private holdings, including roughly $5 billion of Anthropic equity. The episode serves as a cautionary tale about crowded AI trades and the dangers of extreme leverage.

Background

Situational Awareness LP, the hedge fund founded by former OpenAI superalignment team researcher Leopold Aschenbrenner (born 2001), collapsed in July amid a historic AI-sector selloff and margin-call cascade. On July 30, the fund sold most of its public equity portfolio to Ken Griffin's Citadel. The fund had gained 439% in the first half of the year, with assets swelling to roughly $45 billion — before nearly reaching zero within a month.

The Founder and the Strategy

Aschenbrenner, a German-born prodigy, entered Columbia University at 15 and graduated first in his class at 19. He joined OpenAI's superalignment team, was dismissed in 2023 over a security memo, and then published a 165-page essay predicting AGI would trigger a compute-infrastructure boom by 2027, winning backing from top investors. He founded the fund in September 2024 with about $225 million in seed capital from the Stripe founders, Nat Friedman, Daniel Gross, and Jane Street.

The strategy was simple but aggressive: high leverage (~4x) concentrated on AI infrastructure "picks and shovels" suppliers, long names including SK Hynix, Micron, Sandisk, Nebius, CoreWeave, and Bloom Energy, while shorting software stocks such as Adobe.

The July Collapse

  • A deep global chip-stock correction in July hit the long book hard: Sandisk fell 56% and Nebius 48%.
  • Software stocks rebounded on valuation repair (Adobe rose against the trend), so the short book also lost money.
  • Combined with ~4x leverage, the fund suffered a double-sided loss.
  • A major trigger came from South Korea: leveraged retail investors heavily concentrated in AI names faced mass margin calls, sparking cascading selling that dragged down global AI assets.
  • In the early hours of July 30, the Federal Reserve's "hawkish pause" (holding rates at 3.50–3.75%, with three governors favoring a hike) was read as a prelude to renewed tightening; chip stocks were hammered late in the session, and rapid declines triggered broker margin calls from Bank of America, Goldman Sachs, and JPMorgan.
  • On July 30, the fund sold its public equity portfolio to Citadel in a single deal worth over $10 billion.
  • The Ironic Timing

    Just six days before the blowup (July 24), Aschenbrenner told investors in a letter that the volatility represented "the best buying window since early 2025" and invited additional capital by August 1. His July 30 letter to LPs admitted a ~67% loss for the month, writing "we let you down this month" and comparing the experience to a "bank run."

    The fund then sold at what proved to be the bottom: the next day, chip stocks rebounded sharply — Sandisk +25.99%, CoreWeave +21.51%, Bloom Energy +26.49%.

    What Survived

    The fund retained its private holdings, the largest being roughly $5 billion in Anthropic equity (not sold). A slimmed-down team of about 20 continues operating as a private investment company with small-scale public stock trading. Elad Gil publicly said he had invested in the fund for the first time.

    Takeaways: A Warning for Crowded AI Trades

    The person who wrote the "defining case" for the AI bull market was himself forced out by leverage. His long-chips, short-software thesis was the year's most crowded trade, pushed to an extreme with borrowed money, turning one bad month into a crisis. Lessons for quantitative and discretionary strategies alike:

  • The more consensus the theme, the greater the crowding risk: when everyone bets the same way, a liquidity inflection becomes a stampede.
  • Leverage magnifies mistakes, not just returns: 4x leverage turned a 439% annualized gain into a 67% single-month loss.
  • Long/short is not a natural hedge: when the shorted software names rose on valuation repair, the "hedge" became a second wound.
For anyone running AI-focused quant strategies, the real signal is not "avoid AI" but: when consensus is strongest, keep ample margin buffer — don't let your conviction become a margin call notice in your broker's drawer.

Sources

1. Bloomberg Businessweek, 7/31/2026 2. 21st Century Business Herald, 7/31/2026 3. Dealroom, 8/2026 (Citadel sale details) 4. Yahoo Finance HK, 7/31/2026

Tags

#hedge-funds#ai-stocks#leopold-aschenbrenner#situational-awareness#citadel#margin-call#leverage#market-analysis

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