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Leopold Aschenbrenner’s Fund Is Back in AI Options — but the Real Story Is the Risk of Leveraged Thematic Trading

Leopold Aschenbrenner’s Fund Is Back in AI Options — but the Real Story Is the Risk of Leveraged Thematic Trading

Situational Awareness is reportedly buying options in AMD, Bloom Energy, CoreWeave, SK Hynix and Sandisk after a major summer drawdown. The trades highlight how leverage can amplify both conviction and portfolio fragility.

Leopold Aschenbrenner’s Situational Awareness fund is reportedly returning to public markets through options after suffering a dramatic decline during the summer AI selloff.

CNBC reported that the fund had been buying options tied to Advanced Micro Devices, Bloom Energy, CoreWeave, SK Hynix, Sandisk and the Roundhill Memory ETF.

The trades were attributed to unnamed sources.

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They should therefore be treated as reported positioning rather than confirmed public filings.

The larger lesson is about leverage.

Situational Awareness reportedly began July with more than $45 billion in assets before falling to roughly $10 billion after a rapid decline in AI-related positions forced the fund to unwind public equity exposure.

That kind of drawdown shows how a correct long-term thesis can still create catastrophic short-term risk when leverage is too high.

AI infrastructure may continue growing for years.

That does not mean every AI stock rises continuously.

Options make the path even more important.

A stock investor can wait through a temporary decline if the company remains fundamentally strong.

An option holder also faces expiration, volatility changes and strike-price risk.

Being directionally correct after the option expires can still produce a total loss.

The reported new positions are concentrated in several parts of the AI infrastructure stack.

AMD provides accelerators and CPUs.

Bloom Energy is exposed to onsite power for data centers.

CoreWeave provides GPU cloud infrastructure.

SK Hynix and Sandisk provide memory and storage.

The DRAM ETF broadens memory exposure.

That portfolio suggests a continued belief that AI capital spending will remain strong across compute, power and memory.

But it also contains correlated risk.

A broad AI spending slowdown, rate shock or valuation reset can hit all of those positions at the same time.

Diversifying across AI subsectors is not the same as diversifying across economic drivers.

The source also noted that the fund retained private-company exposure such as Anthropic.

Private holdings can add another liquidity mismatch because they cannot be sold as easily as public stocks during stress.

That can force a leveraged fund to liquidate liquid assets first.

For ordinary investors, the story is a warning against copying headline positions without understanding the portfolio structure.

A hedge fund can use options for hedging, spreads or complex risk management.

Seeing that it “bought options” does not reveal the full payoff profile.

Options exposure also complicates reported assets under management. A fund can have a smaller net asset value while controlling much larger notional exposure through derivatives. That means headline AUM does not reveal the full amount of market risk.

The direction of the options is also unknown from the source report. Long calls, call spreads, put sales and hedged structures can all appear as “options positions” while creating very different outcomes.

Investors should therefore resist copying the trades from a headline list of tickers.

The more useful information is thematic: the manager appears to remain constructive on AI compute, memory and power infrastructure despite the earlier drawdown.

That is a view investors can evaluate independently using company fundamentals rather than attempting to reverse-engineer an undisclosed hedge-fund strategy.

Risk controls can include defined-loss option structures, but the source does not reveal whether the fund is using them. That uncertainty reinforces why outside investors should not infer the manager’s risk from ticker direction alone. A position that looks bullish publicly could be part of a broader hedge.

The prior drawdown also raises questions about investor liquidity terms. A fund holding private Anthropic stakes while trading liquid options can face mismatch if investors demand withdrawals during stress. The source does not provide redemption terms, so that risk cannot be quantified, but it is relevant to the structure.

BTI’s bottom line: Situational Awareness’s return to AI options is interesting sentiment data, but the more important lesson is risk management. Leverage can turn a strong secular thesis into a forced liquidation if the path is wrong. Investors should focus on position size, correlation and liquidity before trying to replicate high-conviction AI trades.

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