The Rise of an AI Investing Wunderkind

Leopold Aschenbrenner, a former OpenAI researcher then in his early 20s, founded Situational Awareness in 2024, naming the fund after his viral essay on artificial general intelligence . The fund's thesis was straightforward: AI would be the dominant driver of global market returns over the next decade . Aschenbrenner backed it with concentrated investments in AI-related public equities—chipmakers like SK Hynix, data-center infrastructure providers like CoreWeave, and energy plays—alongside private AI startups like Anthropic .

The strategy was an instant success. By early July 2026, Situational Awareness had amassed roughly $45 billion in assets under management, drawing backing from JPMorgan, Goldman Sachs, Bank of America, and billionaires including Stripe cofounders Patrick and John Collison . The fund returned 439% through June 2026, turning hundreds of millions of dollars into tens of billions . At its peak, Aschenbrenner was being hailed as the "Nostradamus of AI" . But beneath the surface, the fund was using leverage reported at up to 400%—borrowing heavily to amplify its already aggressive AI bets .

The Collapse: A $35 Billion Unraveling in Weeks

The AI trade turned abruptly in July 2026. A global selloff in semiconductor and AI-related stocks, driven by growing skepticism over the sustainability of massive corporate AI spending, triggered a historic momentum reversal . For Situational Awareness, the consequences were catastrophic.

• Margin calls cascade. With leverage as high as 4x, even moderate drawdowns in AI stocks quickly overwhelmed the fund's collateral. Prime brokers including Bank of America pressed for cash, forcing Aschenbrenner to liquidate positions at the worst possible time .

• Forced fire sale to Citadel. In a distressed deal, Aschenbrenner sold virtually all of Situational Awareness's public stock holdings—including SK Hynix and CoreWeave—to Ken Griffin's Citadel at below-market prices . CNBC reported that the portfolio sold was estimated at roughly $16 billion .

• Assets hemorrhage. Assets under management collapsed from roughly $45 billion at the start of July to approximately $10 billion—a loss of about $35 billion in value in roughly one month .

• Anthropic stake pulled. The fund also backed out of a deal to sell $3.5 billion of its Anthropic shares, retaining its valuable private AI holdings .

• Investor letter. In a letter to investors obtained by Reuters, Aschenbrenner wrote, "We let you down this month," and vowed to "learn the necessary lessons from this experience" . The fund was still up roughly 80% for the year despite the 67% July loss, illustrating just how extreme the prior gains had been .

Jane Street's $15 Billion Hit

Jane Street, the Wall Street trading giant and a major investor in Situational Awareness, took a $15 billion loss in July from its combined exposure to the hedge fund and direct AI venture stakes that were caught in the broader rout . According to Bloomberg, wrong-way bets on option positions tied to Chinese markets also drove part of the losses .

However, the $15 billion loss was a rare and severe down month that came after an extraordinarily strong first half of 2026. Key context:

• Record Q1 2026. Jane Street posted $16.1 billion in trading revenue and $10.3 billion in net income in the first quarter alone, more than double the prior year's Q1 .
• Year-to-date resilience. Through July, the firm had still generated more than $40 billion in year-to-date trading revenue, according to Reuters sources .
• 2025 record. In 2025, Jane Street set a Wall Street record with $39.6 billion in net trading revenue, surpassing JPMorgan and other investment banks .

The July loss—while enormous in absolute terms—was absorbed within a still-strong overall year. Jane Street's $40 billion-plus year-to-date haul through July meant the $15 billion hit represented a significant but not crippling drawdown .

The Broader Hedge Fund Industry in July 2026

The AI stock rout dented performance across the hedge fund industry, but no other fund remotely approached Situational Awareness's losses:

• Global hedge funds. According to a JPMorgan note, global hedge funds gave up nearly 3% of their gains in July due to the unwinding of technology bets, but across all strategies they were still up about 8% year-to-date through July .

• Asia-focused funds. The pain was more acute in Asia. Goldman Sachs prime brokerage data showed Asia-focused fundamental long-short equity funds fell an average of 18.6% in July, on track for their worst monthly drawdown on record . Funds run by Hel Ved Capital Management, E20 Capital, Valliance Asset Management, and WT Asset Management all reported double-digit losses .

• Other notable casualties. Whale Rock Capital Management's flagship tech-focused fund fell 21.7% in July . AI-focused hedge fund VARA dropped 44% . Multi-strategy funds like Balyasny and Verition posted smaller but still notable losses .

• Extreme outlier. Situational Awareness's 67% monthly loss and $35 billion AUM collapse were unmatched. Excluding Aschenbrenner's fund, technology-focused hedge funds lost 10.2% in July—itself a record—but that figure underscores just how extreme the Situational Awareness implosion was .

Key Takeaways: The Dangers of Leverage in the AI Trade

The collapse of Situational Awareness is a textbook case of what happens when leverage meets a crowded, single-sector bet:

• Excessive leverage amplifies drawdowns. Leverage of up to 400% meant that a 25% decline in the fund's holdings could wipe out its entire equity. When AI stocks fell 30-78% from recent peaks, the fund had no room to maneuver .
• Concentration compounds risk. Situational Awareness was almost entirely invested in one theme: AI infrastructure and chip stocks. When that theme reversed, there were no hedges or diversification to absorb the blow .
• Prime brokers protect themselves first. Bank of America, Goldman Sachs, and JPMorgan, all prime brokers to the fund, demanded cash quickly, accelerating the forced liquidation and ensuring the fund could not wait for a rebound .

Aschenbrenner's fund was right about the long-term AI thesis but wrong about the timing and risk management. The lesson for investors: being right is not enough if the position size and leverage are wrong .

The Rise of an AI Investing Wunderkind

Leopold Aschenbrenner, a former OpenAI researcher then in his early 20s, founded Situational Awareness in 2024, naming the fund after his viral essay on artificial general intelligence . The fund's thesis was straightforward: AI would be the dominant driver of global market returns over the next decade . Aschenbrenner backed it with concentrated investments in AI-related public equities—chipmakers like SK Hynix, data-center infrastructure providers like CoreWeave, and energy plays—alongside private AI startups like Anthropic .

The strategy was an instant success. By early July 2026, Situational Awareness had amassed roughly $45 billion in assets under management, drawing backing from JPMorgan, Goldman Sachs, Bank of America, and billionaires including Stripe cofounders Patrick and John Collison . The fund returned 439% through June 2026, turning hundreds of millions of dollars into tens of billions . At its peak, Aschenbrenner was being hailed as the "Nostradamus of AI" . But beneath the surface, the fund was using leverage reported at up to 400%—borrowing heavily to amplify its already aggressive AI bets .

The Collapse: A $35 Billion Unraveling in Weeks

The AI trade turned abruptly in July 2026. A global selloff in semiconductor and AI-related stocks, driven by growing skepticism over the sustainability of massive corporate AI spending, triggered a historic momentum reversal . For Situational Awareness, the consequences were catastrophic.

• Margin calls cascade. With leverage as high as 4x, even moderate drawdowns in AI stocks quickly overwhelmed the fund's collateral. Prime brokers including Bank of America pressed for cash, forcing Aschenbrenner to liquidate positions at the worst possible time .

• Forced fire sale to Citadel. In a distressed deal, Aschenbrenner sold virtually all of Situational Awareness's public stock holdings—including SK Hynix and CoreWeave—to Ken Griffin's Citadel at below-market prices . CNBC reported that the portfolio sold was estimated at roughly $16 billion .

• Assets hemorrhage. Assets under management collapsed from roughly $45 billion at the start of July to approximately $10 billion—a loss of about $35 billion in value in roughly one month .

• Anthropic stake pulled. The fund also backed out of a deal to sell $3.5 billion of its Anthropic shares, retaining its valuable private AI holdings .

• Investor letter. In a letter to investors obtained by Reuters, Aschenbrenner wrote, "We let you down this month," and vowed to "learn the necessary lessons from this experience" . The fund was still up roughly 80% for the year despite the 67% July loss, illustrating just how extreme the prior gains had been .

Jane Street's $15 Billion Hit

Jane Street, the Wall Street trading giant and a major investor in Situational Awareness, took a $15 billion loss in July from its combined exposure to the hedge fund and direct AI venture stakes that were caught in the broader rout . According to Bloomberg, wrong-way bets on option positions tied to Chinese markets also drove part of the losses .

However, the $15 billion loss was a rare and severe down month that came after an extraordinarily strong first half of 2026. Key context:

• Record Q1 2026. Jane Street posted $16.1 billion in trading revenue and $10.3 billion in net income in the first quarter alone, more than double the prior year's Q1 .
• Year-to-date resilience. Through July, the firm had still generated more than $40 billion in year-to-date trading revenue, according to Reuters sources .
• 2025 record. In 2025, Jane Street set a Wall Street record with $39.6 billion in net trading revenue, surpassing JPMorgan and other investment banks .

The July loss—while enormous in absolute terms—was absorbed within a still-strong overall year. Jane Street's $40 billion-plus year-to-date haul through July meant the $15 billion hit represented a significant but not crippling drawdown .

The Broader Hedge Fund Industry in July 2026

The AI stock rout dented performance across the hedge fund industry, but no other fund remotely approached Situational Awareness's losses:

• Global hedge funds. According to a JPMorgan note, global hedge funds gave up nearly 3% of their gains in July due to the unwinding of technology bets, but across all strategies they were still up about 8% year-to-date through July .

• Asia-focused funds. The pain was more acute in Asia. Goldman Sachs prime brokerage data showed Asia-focused fundamental long-short equity funds fell an average of 18.6% in July, on track for their worst monthly drawdown on record . Funds run by Hel Ved Capital Management, E20 Capital, Valliance Asset Management, and WT Asset Management all reported double-digit losses .

• Other notable casualties. Whale Rock Capital Management's flagship tech-focused fund fell 21.7% in July . AI-focused hedge fund VARA dropped 44% . Multi-strategy funds like Balyasny and Verition posted smaller but still notable losses .

• Extreme outlier. Situational Awareness's 67% monthly loss and $35 billion AUM collapse were unmatched. Excluding Aschenbrenner's fund, technology-focused hedge funds lost 10.2% in July—itself a record—but that figure underscores just how extreme the Situational Awareness implosion was .

Key Takeaways: The Dangers of Leverage in the AI Trade

The collapse of Situational Awareness is a textbook case of what happens when leverage meets a crowded, single-sector bet:

• Excessive leverage amplifies drawdowns. Leverage of up to 400% meant that a 25% decline in the fund's holdings could wipe out its entire equity. When AI stocks fell 30-78% from recent peaks, the fund had no room to maneuver .
• Concentration compounds risk. Situational Awareness was almost entirely invested in one theme: AI infrastructure and chip stocks. When that theme reversed, there were no hedges or diversification to absorb the blow .
• Prime brokers protect themselves first. Bank of America, Goldman Sachs, and JPMorgan, all prime brokers to the fund, demanded cash quickly, accelerating the forced liquidation and ensuring the fund could not wait for a rebound .

Aschenbrenner's fund was right about the long-term AI thesis but wrong about the timing and risk management. The lesson for investors: being right is not enough if the position size and leverage are wrong .