Former OpenAI Researcher's Fund Shorts Nvidia and AI Chip Names

Regulatory disclosures show that the hedge fund Situational Awareness, founded by former OpenAI alignment researcher Leopold Aschenbrenner, reported large bearish option positions in its most recent 13F filing, according to Business Insider, Yahoo Finance, and Seeking Alpha. The filing disclosed roughly $1.56 billion in put options on Nvidia, and over $2 billion in puts tied to the VanEck Semiconductor ETF (SMH), per reporting by Business Insider and Yahoo Finance. The filing also lists multi-hundred-million to billion-dollar put positions against Broadcom, Oracle, AMD, TSMC, ASML, and Intel, as reported by Yahoo Finance and Seeking Alpha. The filings show the fund retained call-option or long exposures to a smaller set of companies including CoreWeave, according to Yahoo Finance.

Options-heavy positioning of the scale disclosed in the 13F is a fast-acting market signal rather than a disclosure of long-term engineering choices. Industry practitioners and infrastructure vendors watch concentrated derivatives positions because they can amplify short-term volatility in underlying hardware suppliers. Companies that supply GPUs, HBM, and fabs are already subject to cyclical capital spending and inventory dynamics, and large put volumes can reflect investor views on near-term revenue or pricing pressure rather than changes in underlying compute demand.

Public reporting frames this as one of several high-profile bearish stances on the so-called AI hardware trade, joining other notable short positions reported in recent months. The Wall Street Journal and Business Insider documented Aschenbrenner's rapid rise as a fund founder after publishing a widely read 2024 paper, and public coverage highlights that new, AI-focused hedge funds have drawn substantial capital. For practitioners, the immediate implication is market-driven: hardware vendors may see increased share-price volatility, which can affect vendor risk assessments, procurement timing, and conversations about spot versus contract pricing for GPUs and memory.

Observers will track several indicators to interpret the economic story behind these bets. Key items include published inventory and pricing reports for DRAM and HBM from major suppliers, quarterly revenue guidance from GPU and semiconductor firms, and actual execution data from cloud providers on GPU utilization and procurement. Another signal is activity in options markets and ETF flows around SMH, which can show whether the betting is concentrated in derivatives or mirrored in cash positions.

For data-science leaders and ML infrastructure teams, the filings do not change technical requirements but may influence procurement cadence. If capital markets pressure stock prices, that can translate into vendor caution around supply commitments and longer negotiation cycles for high-volume GPU and HBM purchases. Procurement teams and SRE/infra planners typically monitor both vendor guidance and secondary-market pricing when timing large buys.

What is reported: numerical positions and the fund founder's background are taken from the 13F disclosures as reported by Business Insider, Yahoo Finance, and Seeking Alpha. The Wall Street Journal and Business Insider reported on Leopold Aschenbrenner's prior profile and 2024 paper. The reporting outlets differ in detail and some figures are presented as rounded totals in secondary coverage. Situational Awareness has not provided a quoted rationale in the cited coverage.