Leopold Aschenbrenner, a former OpenAI researcher who left the company in 2024, launched Situational Awareness with a thesis that artificial general intelligence would need massive infrastructure long before the models themselves become mainstream. Backed by roughly $225 million from high‑profile investors—including the Collison brothers, Nat Friedman and Daniel Gross—the fund concentrated on the "picks and shovels" of the AI boom: data‑center operators, memory chipmakers, power suppliers and related hardware.
That strategy paid off spectacularly at first. By pouring money into names such as CoreWeave, Nebius, SK Hynix, SanDisk, Bloom Energy and repurposed crypto miners, the fund’s assets ballooned to more than $20 billion, with some measures indicating a 439 percent return. The rapid rise, however, was amplified by roughly four‑to‑one leverage, a structure that magnifies gains but also accelerates losses.
When AI‑infrastructure stocks tumbled sharply in July, the leveraged position triggered margin calls. The fund was forced to liquidate nearly its entire public‑equity portfolio, reportedly selling the assets to Citadel Advisors. In a matter of weeks, the once‑celebrated vehicle shed about two‑thirds of its value, wiping out a fortune built in barely two years.
Regulators have been watching the episode closely. The Bank for International Settlements warned that an AI‑related bust could reverberate through credit markets with the same intensity as the 2008 financial crisis, given how much of the boom runs on borrowed money. The collapse also revived comparisons to the dot‑com bubble, highlighting concerns over concentration and inflated valuations.
Undeterred, Aschenbrenner has secured a fresh $400 million to restart the fund. The new capital reflects a continued conviction that demand for AI infrastructure is real and that the recent sell‑off may have left quality assets undervalued. While the fund’s previous downfall was rooted in risk‑management failures rather than a flawed thesis, the decision to re‑enter the market so quickly raises questions about whether lessons learned will translate into a more disciplined approach.
Industry observers note that many of the infrastructure names the fund once favored remain exposed. CoreWeave, for instance, relies heavily on debt, and its borrowing costs swing with market sentiment about AI demand. Nonetheless, the fresh injection of capital could allow Situational Awareness to acquire positions at a discount, assuming the underlying demand persists.
As the AI sector steadies after months of volatility, the fund’s comeback will be watched as a barometer for investor confidence in the infrastructure layer of the technology. Whether the new round proves to be a prudent re‑entry or a repeat of past over‑leverage will become clear in the months ahead.
Este artículo fue escrito con la asistencia de IA.
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