By HIBIKI, CryptoCity
AI Visionary’s Hedge Fund Makes Bold Bet: Shorting Nvidia, Going Long on Power Infrastructure
Situational Awareness LP, a hedge fund helmed by Leopold Aschenbrenner, a former researcher from OpenAI, has unveiled its Q1 2026 13F holdings report. The filing reveals a dramatic doubling of its managed securities to an impressive $13.6 billion, up from a previously disclosed $5.5 billion. This rapid growth is accompanied by a striking investment strategy: significant short positions against semiconductor ETFs and industry titans like Nvidia.
According to reports from Business Insider, Situational Awareness LP has made substantial purchases of put options to short AI hardware stocks. Its largest disclosed position is a staggering $2 billion bet against the VanEck Semiconductor ETF (SMH).
Situational Awareness LP’s Key Short Positions (Put Options)
- Nvidia: $1.56 billion
- Oracle: $1.07 billion
- Broadcom: $1 billion
- AMD: $969.2 million
- TSMC: $535.1 million (while also holding $354 million in call options)
- ASML: $494.1 million
- Intel: $159.1 million
Situational Awareness LP’s Key Long Positions (Call Options)
- SanDisk (Flash Memory Enterprise): $388.8 million
- CoreWeave (AI Cloud Computing Enterprise): $140.6 million
- CleanSpark (Bitcoin Miner): $104.5 million
- Bloom Energy (Renewable Energy Enterprise): $55.3 million
Note: A 13F report is a quarterly filing mandated by the U.S. Securities and Exchange Commission (SEC) for institutional investment managers overseeing more than $100 million in assets. It discloses their holdings of U.S.-listed equities and options positions.
Why the Pivot? Shorting AI Semiconductors, Going Long on Energy & Crypto Miners
The fund’s strategy extends beyond merely shorting semiconductor chip manufacturers; it involves a significant pivot towards long positions in cryptocurrency mining companies and AI cloud computing enterprises. This unconventional approach is deeply rooted in Aschenbrenner’s 2024 paper, which predicts the advent of Artificial General Intelligence (AGI) by 2027.
As reported by Fitech Journal, Aschenbrenner’s thesis posits that as AI models become increasingly sophisticated, the primary bottleneck for future development will shift from raw computational power to the physical limitations of power grids and data centers. The relentless pursuit of processing power alone will no longer be the sole focus.
Consequently, Situational Awareness LP has chosen to mitigate potential risks associated with chip manufacturing and AI model development by establishing substantial bearish positions in the semiconductor sector. Simultaneously, the fund has redirected its long positions and call options towards energy companies and former cryptocurrency miners aggressively transforming into AI data centers, such as CleanSpark and Riot Platforms. These entities, with their existing large-scale power infrastructure, are strategically positioned to directly capitalize on the burgeoning expansion of AI infrastructure.
Further Reading: 24-Year-Old Fund Manager Achieves 24x Returns! His AI Portfolio Targets “The Most Scarce Resources”
Leopold Aschenbrenner: Capturing the AGI Zeitgeist
At just 24 years old, Leopold Aschenbrenner is frequently lauded as a “prodigy,” having graduated first in his class from Columbia University at the age of 19. His early career included a stint at the now-defunct FTX exchange’s philanthropic foundation, followed by a research role within OpenAI’s Superalignment team.
After his dismissal from OpenAI in April 2024, Aschenbrenner penned a sensational AI manifesto titled “Situational Awareness: The Decade Ahead” and subsequently launched his hedge fund. Despite his youth and minimal traditional Wall Street fund management experience, he successfully convinced Silicon Valley luminaries, including the Collison brothers (Stripe founders) and former Meta AI lead Nat Friedman, to invest in his venture, based purely on the strength of his arguments.
Situational Awareness LP has seen its assets under management balloon rapidly. Veteran hedge fund investors have expressed astonishment, noting Aschenbrenner’s understanding of AI public market investing to be “more mature than anyone they’d ever spoken with.”
However, not all reactions have been positive. Some former OpenAI colleagues and researchers have voiced skepticism, questioning Aschenbrenner’s lack of financial management experience and suggesting that his narrative of AI safety threats might serve as a marketing ploy to attract capital. Concerns have also been raised that his extreme viewpoints could exacerbate sentiments fueling a US-China technological cold war.
Nevertheless, Aschenbrenner’s undeniable acumen lies in his ability to precisely tap into the capital market’s fervent anticipation of AGI and underlying geopolitical anxieties, successfully transforming them into substantial financial influence.
The market is now keenly observing whether this audacious strategy – shorting semiconductors and betting big on power infrastructure – will ultimately yield significant returns or prove to be merely a phantom amidst a speculative bubble.
(The above content is excerpted and reproduced with authorization from partner CryptoCity, original link)
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