Situational Awareness Hedge Fund Makes Massive Semiconductor Put Bets in Q1 2026 13F Filing
The latest 13F from Situational Awareness LP landed with the kind of jolt that gets Wall Street’s attention. In its May 18 filing with the SEC, the hedge fund founded by former OpenAI researcher Leopold Aschenbrenner disclosed an aggressive reshaping of its portfolio in the first quarter of 2026, including roughly $7.7 billion in new put-option notional tied to AI and semiconductor names.
That is an eye-catching figure by any standard. And for a fund that has quickly become one of the most closely watched investors in the AI trade, it amounts to a clear signal: even in one of the market’s hottest sectors, conviction can come with caution.
The Put Option Positions
The most notable element of the filing is the concentration of bearish exposure in semiconductor-related names. TrendSpider’s analysis of the 13F showed large new put positions tied to NVIDIA, AMD, and the VanEck Semiconductor ETF, or SMH. Business Insider reported that the fund bought more than $1.5 billion in NVIDIA puts alone, alongside sizable positions in AMD and broad semiconductor ETF puts exceeding $2 billion.
Investors should be careful with those numbers. They reflect notional exposure—the value of the underlying shares—not the cash premium the fund actually paid. Even so, the scale suggests a meaningful hedge, not a routine bit of portfolio insurance.
A few figures stand out:
- May 18, 2026: filing date for Situational Awareness LP’s Q1 13F
- About $7.7 billion: fresh put-option notional added across AI and semiconductor stocks
- $13.68 billion: total U.S. equity and options exposure as of March 31, 2026
- More than $1.5 billion: reported notional value of NVIDIA put options
- $746.76 million: reported Intel position, or 13.54% of the portfolio
Key Insight: The filing points less to an outright anti-AI bet than to a selective strategy: stay exposed to the AI buildout, but hedge the parts of the semiconductor trade that may be most vulnerable.
Context of Aschenbrenner's Investment Thesis
That positioning fits Aschenbrenner’s broader view of the AI economy. His essay series, Situational Awareness: The Decade Ahead, argues that artificial general intelligence could arrive by 2027, setting off enormous demand for compute and the infrastructure around it. But that does not automatically mean every chip company wins equally.
The filing suggests the fund sees a more complicated map of winners and losers. Aschenbrenner has argued that frontier AI will keep improving rapidly, creating pressure on the real bottlenecks of the system. In that framework, power generation, distribution, and other infrastructure may matter as much as—if not more than—the chip layer itself.
That helps explain the apparent contradiction in the portfolio. Situational Awareness is not simply betting against semiconductors across the board. It appears to be pairing long exposure to areas tied to AI infrastructure with downside protection, or possibly a more tactical bearish stance, on parts of the semiconductor complex where valuations are stretched or margins could come under pressure.
Implications for Investors and Market Impact
For retail investors, the filing is worth watching for two reasons. First, it underscores how nuanced institutional AI investing has become. The easy version of the trade—buy anything linked to chips and wait—may be giving way to a more selective approach.
Second, the disclosure arrives with the usual 45-day lag. The positions reflect holdings as of March 31, meaning the market is reacting to old information. That limits its usefulness as a trading signal, but not as a window into how a sophisticated AI-focused fund is thinking about the sector.
Situational Awareness has also grown at remarkable speed, rising from $225 million in late 2024 to billions in disclosed exposure within 18 months. That growth gives its filings more weight, and potentially more influence, each quarter.
Forward-Looking Insight
The bigger takeaway is not just that one hedge fund bought a mountain of puts. It is that the AI investment story may be entering a more discriminating phase. Semiconductor demand can remain strong while individual stocks face valuation risk, cyclical pressure, or tougher competition.
For investors, that is the real message in this filing. The AI boom is still powerful, but the market may be moving beyond broad enthusiasm and toward a harder question: which companies actually capture the value?