Leopold Aschenbrenner, the former OpenAI safety researcher who left the company in April 2023 and published the widely-circulated "Situational Awareness" memo on AGI timelines, filed his first 13F quarterly disclosure this week. Situational Awareness Capital holds $13.7 billion in U.S. equities, concentrated in semiconductor fabrication, power generation infrastructure, and data center real estate. The filing names no consumer software positions.
The portfolio breaks 64% into chipmakers—TSMC ADRs, ASML Holding, Applied Materials, and Lam Research—and 28% into utility-scale energy: Vistra Corp, Constellation Energy, and NextEra Energy Partners. The remaining 8% sits in Equinix and Digital Realty, the two largest U.S. colocation operators. Aschenbrenner took no positions in Nvidia, citing valuation in a simultaneous investor letter. He writes that the bottleneck has already moved downstream to fabrication capacity and gigawatt-scale power procurement, not chip design. The fund launched in Q3 2024 with capital from three unnamed family offices and one sovereign vehicle, according to separate Form D filings.
This matters because Aschenbrenner's memo argued that algorithmic progress would deliver AGI-level systems by late 2027, not 2030 or beyond, and that the constraint would be physical: fabs running at capacity and utilities unable to provision power fast enough for 100GW+ cluster builds. If he is right, then the companies currently selling shovels to the hyperscalers—particularly ASML, which has a monopoly on EUV lithography tools—will see contract backlogs extend into 2029. Vistra and Constellation, both of which operate nuclear fleets and have signed long-term power agreements with AWS and Microsoft, would reprice upward as the only credible multi-gigawatt suppliers. The 13F confirms he is staking $8.8 billion on that thesis, not hedging it with software or cloud exposure.
The energy weighting is the sharper signal. Vistra's $3.2 billion position represents 23% of the total portfolio, the largest single name. The company operates 6.6GW of nuclear capacity across Texas and the Mid-Atlantic and has publicly stated it will not retire any reactors before 2040. Constellation, holding $1.1 billion in the 13F, owns the largest U.S. nuclear fleet at 21.5GW and recently extended its Microsoft PPA through 2039. Both stocks have run 140%+ over the past eighteen months, yet Aschenbrenner is entering now, suggesting he expects demand curves to steepen further as hyperscalers compete for finite capacity. NextEra Energy Partners, the renewable yield vehicle, is the outlier—likely a hedge against regulatory or political delays in nuclear restarts.
Operators should track two developments. First, ASML's backlog disclosure in its January 22 earnings call: if orders extend past 2027 delivery windows, it confirms Aschenbrenner's view that the bottleneck has moved from chip design to tool supply. Second, Vistra and Constellation's Q1 2025 earnings in late April will include updated PPA signings; any incremental hyperscaler agreements above 2GW would validate the scarcity premium. Meanwhile, the absence of Nvidia is notable—Aschenbrenner is explicitly shorting the consensus that the value accrues to the model layer, betting instead on infrastructure scarcity.
The filing arrives two weeks after Microsoft disclosed a $50 billion capital expenditure plan for fiscal 2026, with $38 billion earmarked for data centers and power infrastructure. If Aschenbrenner's timeline holds, then the next 24 months will determine whether the hyperscalers can secure power faster than models improve, or whether AGI-capable training runs stall in 2027 waiting for utilities to turn on reactors that won't be online until 2029.
The takeaway
First institutional bet on AI bottleneck moving to power and fabs, not chips—**$13.7B** says scarcity arrives by 2027.
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