Leopold Aschenbrenner's Situational Awareness Fund disclosed bearish positions worth approximately $470 million against Nvidia and AMD in its Q4 2024 13F filing, marking the fund's first material short disclosures since inception. The former OpenAI superalignment researcher, who departed the company in April 2024 and published the widely-circulated "Situational Awareness" memo on AGI timelines, initiated put options representing 2.1 million Nvidia shares and 890,000 AMD shares at quarter-end prices. The positions represented 41% of the fund's gross exposure, concentrated in single-name equity derivatives rather than sector-wide hedges.
The timing intersects with record AI infrastructure spending. Nvidia reported $35.1 billion in datacenter revenue for Q4 2024, up 93% year-over-year, while Microsoft, Meta, and Amazon collectively guided to $240 billion in capital expenditures for 2025, predominantly for GPU clusters and training infrastructure. Aschenbrenner's fund built these positions between October and December 2024, when Nvidia traded between $132 and $148 per share, before the stock's January rally to $157. AMD positions were established in the $125-$142 range. The 13F shows no offsetting long positions in alternative chip architectures, compute REITs, or power infrastructure plays that would suggest a pairs trade.
The positioning carries weight beyond typical hedge fund shorts. Aschenbrenner spent two years inside OpenAI's superalignment team before his departure over alleged security disagreements, giving him direct visibility into training run economics and model scaling behavior that remains opaque to public market participants. His "Situational Awareness" document argued for $1 trillion in annual AGI investment by 2027 but emphasized algorithmic efficiency gains over raw compute scaling—a thesis that would compress margins for pure-play hardware vendors if training costs decline faster than model capability demands increase. The fund's SEC filings show $340 million in regulatory capital, suggesting the Nvidia and AMD shorts represent levered exposure through options structures rather than cash-secured borrows.
The broader market context tightens around these disclosures. Nvidia's forward price-to-earnings ratio sits at 28.4x despite decelerating revenue growth, while AMD's datacenter GPU segment faces 34% quarter-over-quarter inventory growth per its last 10-Q. Hyperscaler capex guidance for 2025 includes explicit language around "optimizing utilization" and "extending refresh cycles" from both Microsoft and Alphabet, terms absent from prior-year calls. Meanwhile, inference workloads—which require less cutting-edge silicon than training—now represent 62% of industry compute demand per SemiAnalysis estimates, up from 41% in early 2024. If Aschenbrenner's thesis holds that algorithmic breakthroughs reduce marginal GPU demand per capability unit, the current market pricing embeds no such efficiency curve.
Allocators should monitor three specific developments through Q2 2025. First, Nvidia's April earnings call for commentary on H200 order pushouts or Blackwell deployment delays, which would validate near-term demand softness. Second, any 13D filings from Situational Awareness or affiliated vehicles indicating increased short interest above 5% in either name, triggering activist disclosure thresholds. Third, compute cost-per-token metrics from major API providers—OpenAI, Anthropic, Google—where 40%+ reductions would confirm the algorithmic efficiency thesis and justify hardware margin compression. The fund's Q1 2025 13F, due May 15th, will show whether these positions were pressed or covered during Nvidia's January rally.
The market now prices AGI infrastructure as linear capex scaling. One former insider with $470 million in derivatives says otherwise.
The takeaway
Aschenbrenner's **$470M** short against Nvidia and AMD suggests algorithmic efficiency may outpace hardware demand sooner than consensus expects.
Two hundred brands. Eight months on the desk. $0.003 an impression.
The branded-identity layer Chiefs of Staff and heritage CMOs route through — imprinting on real authorized stock for Nike, YETI, Patagonia, The North Face, Carhartt, Stanley, Peter Millar, TUMI, Montblanc, Moleskine, Waterford, and 190 more. Nine editorial desks publish the intelligence those operators read before they sign: The Stash Edge, Markets Edge, Sports Edge, Voyage Edge, Black's Edge, House Edge, the Article Engine, Ramen, and Fending.
$0.003per impression · vs ~$0.007 digital CPM
8 monthson the desk · vs 0.8s for a digital ad
200+authorized brands · Nike · YETI · Patagonia
9 deskspublishing daily · since 1997
70,000 SKUs · virtual proof in 60 seconds · no platform fee · blind-shipped · ASI #217876
Your next customer won't visit your website. Their AI will.
AI assistants have quietly taken over the first step of buying — they answer from catalogs they can read and shortlist whoever can actually ship. Two questions now decide whether you exist to that buyer: can a machine read your catalog, and can you fulfill the order. Most brands fail one or both and never find out why the orders went elsewhere. The winners of this shift aren't the loudest. They're the most readable. Build for the machine that's about to do the shopping.
Built by the craft floor — apparel, media, packaging, and secure print.
This trade runs on hands, not desks. Imprint manufacturing & Komori Press · Canon high-speed secure-media operations is a craft floor — genuine Six Sigma discipline applied to ink, thread, foil, and registration, where a hundredth of an inch is the difference between a brand that reads serious and one that reads cheap. POPS4 is built by exactly those operators: independent, boots-on-the-ground engineers who carry their own book, read a client in microseconds, and put their name on every run. Beyond our own Virginia Beach floor, we work with a vetted network of craft manufacturers across the US — each meeting the highest excellence in QC standards in the industry, each a specialist in its own discipline — so apparel, hard-goods imprinting, media manufacturing, packaging, and secure printing all go to the bench built for them, coordinated from one accountable hub. Short-run from twenty-five units, volume to five hundred thousand. Two hundred authorized national brands, seventy thousand SKUs with virtual proofing on every one. Art archived for instant reorders. Net-thirty corporate terms, NDA-standard white-label — your name on the work, or none at all.
Strategy, positioning, identity, creative, and messaging — wired into an AI system that publishes and distributes on its own. Nine editorial desks generate the authority, the production house ships the physical proof, and the attribution layer tells you which post sold which SKU. What you get is an operating layer — content, catalog, and order path under one roof — that keeps working whether or not you are in the room. Built for principals who would rather own the machine than rent the agency.
Named-account programs — one desk, quiet delivery, NDA-standard.
One point of contact who already knows the file, so nothing restarts from zero between engagements. The work ships blind, under NDA, with your name on it or none at all. Built for single-family offices, heritage-house CMOs, sports-ownership groups, and the agencies that white-label our production. The relationship is the product; the merch is the proof of it.
SFO · Chief of Staff desk. Principal household, properties, aircraft, yacht, calendar, philanthropy — one file.
Shop seventy thousand products. Virtual proof on every one. 24/7.
Drop your logo on any product and see the virtual proof before asking. Quote routes direct to the desk. MCP catalog for AI agents. Celeste for the fast conversation. Full self-service checkout in development.