Stock Markets July 30, 2026 07:02 AM

Leopold Aschenbrenner’s Situational Awareness Seeks Fresh Capital After AI Stock Rout

Hedge fund managing roughly $20 billion taps investors and lenders after July selloff in concentrated AI-infrastructure positions

By Priya Menon
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Situational Awareness LP, run by former OpenAI researcher Leopold Aschenbrenner, has approached existing investors and lenders for additional capital after losses tied to a July 2026 selloff in AI-related stocks. The fund, which had posted a strong 2026 gain through June, holds concentrated long positions in AI infrastructure and sizable put exposure, and has offered some investors the chance to buy portfolio assets directly. The extent of the drawdown, current net asset value and whether fresh capital has been secured remain unconfirmed.

Leopold Aschenbrenner’s Situational Awareness Seeks Fresh Capital After AI Stock Rout
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Key Points

  • Situational Awareness LP, managing roughly $20 billion prior to the July selloff, has sought fresh capital from existing investors and lenders after losses tied to a July 2026 AI stock rout.
  • The fund's Q1 2026 13F showed about $13.68 billion in reported notional exposure, with roughly $8.46 billion in put exposure and a long book concentrated in power, AI compute and bitcoin miners.
  • Specific Q1 portfolio actions included a new $43.9 million position in T1 Energy, a 92.4% increase in Bitdeer Technologies exposure, acquisition of 3.39 million HIVE shares, and a 40.8% trim of Solaris Energy Infrastructure.

Leopold Aschenbrenner's hedge fund, Situational Awareness LP, is seeking new funding after losses stemming from a July 2026 selloff in AI-related equities, the Financial Times reported on July 30. The fund is known to manage roughly $20 billion, a figure that predates the July rout.

Launched by Aschenbrenner after his departure from OpenAI in April 2024, Situational Awareness has contacted existing investors and lenders to request fresh capital. According to the Financial Times, some investors were presented with the option to purchase portfolio assets directly from the fund as part of those outreach efforts.

Publicly traded names in the fund's disclosed long book that were cited as being particularly affected by the selloff include Bloom Energy, CoreWeave and Nebius. Those AI infrastructure positions were described as having been hit hard during the market decline.

Situational Awareness's rapid reversal in fortunes highlights the risks of concentrated exposure to a single thematic trade. The fund had been reporting strong performance earlier in 2026, rising by approximately 439% after fees through the end of June. That strong run, concentrated in AI-related infrastructure, left the fund vulnerable when sentiment shifted.

Regulatory filings for the first quarter of 2026 provide additional detail on the fund's positioning. The fund's Q1 2026 13F showed roughly $13.68 billion in reported notional exposure, including approximately $8.46 billion in put exposure. The filings indicated a long book focused on power, AI compute and bitcoin miners.

The Q1 disclosures also documented a set of specific portfolio moves that underline the breadth of the fund's AI-adjacent infrastructure bets. In Q1 the fund added a new $43.9 million position in T1 Energy, increased its stake in Bitdeer Technologies by 92.4%, acquired 3.39 million shares of HIVE Digital Technologies, and trimmed its Solaris Energy Infrastructure holding by 40.8%.

In a letter to investors dated July 24, the fund characterized the broader technology selloff as a buying opportunity and identified a potential Anthropic IPO as a possible future catalyst for the sector. That letter, as reported, indicates that Aschenbrenner remains constructive on AI infrastructure despite the drawdown.

"PS. At times we call out opportunities that seem like a particularly good time to add funds, if you have been waiting for one," the letter closed, according to the Financial Times.

Situational Awareness is not unique in confronting margin and financing pressures. Major banks including Goldman Sachs and JPMorgan Chase have issued margin calls to hedge funds holding highly concentrated AI positions, demanding additional collateral to maintain existing leverage.

Barclays' head of U.S. equity strategy, Venu Krishna, summarized the market backdrop by highlighting three focal points: financing uncertainty, corporate capital expenditure expansion, and pressure on big tech free cash flow. Those three issues align closely with the investment thesis around AI infrastructure and help explain why a concentrated fund built on that thesis experienced outsized losses when market sentiment shifted.

Certain key details remain unclear. The precise magnitude of Situational Awareness's drawdown has not been publicly disclosed. It is also unknown whether any lenders or investors have agreed to provide the fresh capital the fund has sought since its approaches. The $20 billion assets under management figure predates the July selloff, and the current net asset value has not been confirmed.

Additional open questions include whether any portfolio-asset sales to investors have been completed and, if so, at what prices relative to net asset value. The timing of a potential Anthropic IPO, which the fund described as an important sector catalyst, is also unspecified. How quickly that listing might occur and whether it could act as a stabilizing influence for AI infrastructure equities will be closely watched by investors considering participation in any capital raise from the fund.

Risks

  • Financing uncertainty - margin calls from counterparties such as Goldman Sachs and JPMorgan Chase have been issued to funds with concentrated AI positions, increasing liquidity pressure on those holdings.
  • Concentration risk in AI infrastructure - heavy exposure to a narrow thematic basket amplified losses when market sentiment shifted, leaving the fund vulnerable to sharp reversals.
  • Uncertain recovery catalysts and timing - the potential Anthropic IPO is cited as a forward catalyst but its timing is unspecified, creating uncertainty over whether and when sentiment for AI infrastructure stocks might stabilize.

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