The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

链捕手Publicado a 2026-05-20Actualizado a 2026-05-20

Resumen

An AI-focused hedge fund named Situational Awareness LP, known for its 60x returns, has taken a significant bearish stance on semiconductor stocks in Q1 2026. Its 13F filing reveals a massive 148% quarterly increase in nominal exposure to $13.677 billion, with over 60% of the new exposure directed towards put options on major chip players. Key bearish bets include $2.04 billion in puts on the VanEck Semiconductor ETF (SMH) and $1.56 billion on NVIDIA, alongside positions against Broadcom, Oracle, AMD, and others. The fund simultaneously increased its long equity holdings in AI infrastructure and compute providers like CoreWeave and Bitcoin mining companies repurposing for compute. The core thesis behind this positioning is a shift in the primary constraint for AI expansion. The fund argues that while GPU supply was the critical bottleneck in previous years, the new limiting factors for large-scale AI cluster deployment are physical infrastructure: electrical grid access (with multi-year backlogs in the US), power availability, land, and data center construction timelines. The fund is not betting against AI's success but rather hedging against potential valuation corrections in semiconductor stocks whose prices may have run ahead, while directly investing in the downstream physical bottlenecks—power and data center capacity—it believes will capture value next. This move translates a previously theoretical narrative about infrastructure constraints into a concrete, high-convic...

Author: BiBi News

On May 18, 2026, Situational Awareness LP submitted its 13F filing for the first quarter of 2026.

The fund's nominal exposure to U.S. stocks and options expanded from $5.52 billion at the end of 2025 to $13.677 billion, a single-quarter growth of 148%.

However, what caught market attention was not the size, but the structure: over 60% of the new nominal exposure was entirely placed in put options on the semiconductor sector.

What Q1 Did

The put options cover nine targets: VanEck Semiconductor ETF (SMH), NVIDIA, Broadcom, Oracle, AMD, Micron, TSMC, ASML, Intel.

Among them, SMH has the largest put nominal size at $2.04 billion, followed by NVIDIA at $1.56 billion. Micron and TSMC hold both call and put options, indicating a bet on volatility rather than a one-sided short.

It should be noted that the 13F filing only discloses the nominal value of options, making it impossible to directly determine the net short size. These put positions could be active shorting or could be hedging protection purchased while holding long positions.

The full intent cannot be reconstructed from the filing alone.

In the stock direction, the fund continued to bet on computing infrastructure.

CoreWeave holdings increased from 6.1 million shares to 7.18 million shares; IREN and Applied Digital were similarly increased;

The expansion was most pronounced in the miner direction: Bitfarms (now renamed Keel Infrastructure) increased from 6.9 million shares to 19.88 million shares, CleanSpark increased from 1.64 million shares to 12.28 million shares, Riot Platforms increased from 6.17 million shares to 11.5 million shares.

Bloom Energy reduced holdings by 3.59 million shares but still holds about $879 million in market value, while retaining 408.5 thousand call options. This is profit-taking, not a change in direction.

Exits were concentrated in the optical communication direction.

Lumentum and Coherent were completely liquidated; last quarter, Lumentum's position accounted for as much as 8.68%, this quarter it is zero.

Intel's operation deserves separate attention: last quarter held about 20 million call options, all liquidated this quarter, while establishing new put option positions.

Not a flat position, but a complete reversal in direction, from bullish to bearish.

Where the Bottleneck Is, the Money Is

The logic behind this 13F is a specific judgment on supply and demand: the constraints on AI expansion are shifting.

Over the past two years, the core constraint limiting AI scale was GPU shortage, so the market persistently traded NVIDIA, HBM memory, advanced manufacturing, and optical communication. During this phase, the semiconductor sector as a whole received a significant premium.

However, as computing clusters scale towards hundreds of thousands or even millions of GPUs, new constraints are emerging.

Grid connection applications in the US currently have a backlog exceeding 2TW, with an average wait time of over five years; transformer capacity is limited, and new data center construction cycles are measured in years; chips can continue to expand production, but the electricity, land, and construction capabilities needed to support their operation cannot keep pace.

Under this judgment, the logic of shorting the semiconductor sector is not the belief that AI will fail, but that valuations in the chip sector have already priced in expectations, and value is migrating to downstream physical infrastructure.

Buying puts on SMH and NVIDIA hedges against potential valuation corrections in the chip sector; continuing to hold CoreWeave, transformed miner companies, Bloom Energy, is betting on the real bottlenecks: electricity and data center capacity.

CoreWeave's operation also confirms this thinking: call options were slashed from 10.81 million to 1.81 million, while common shares increased from 6.1 million to 7.18 million shares.

The direction hasn't changed, only the high-leverage option positions were swapped for common stock to reduce portfolio volatility impact.

From $225 Million to $13.677 Billion

This fund was founded in September 2024; its first 13F disclosed U.S. stock exposure of about $225 million. By the end of 2025, this number had grown to $5.52 billion; as of March 31, 2026, the nominal exposure reached $13.677 billion.

In the first half of 2025, the fund achieved a return of about 47%, while the S&P 500 rose only about 6%; for the full year, it outperformed the S&P 500 by about 12.5 percentage points.

Before founding the fund, this 24-year-old German published a 165-page paper titled "Situational Awareness: The Decade Ahead," outlining judgments on the AGI timeline and that power and computing infrastructure would become the biggest bottlenecks. The fund's early capital came from Nat Friedman, Daniel Gross, and Stripe co-founders Patrick and John Collison.

The significance of this quarterly report is that it translates a judgment that was previously more narrative into concrete portfolio structure.

Chips are merely the entry point for expansion; what truly determines the speed of AI expansion is whether, in the real world, power can be connected, data centers can be built, and grid connection approvals can be obtained within five years.

If this judgment holds, the keywords for AI investment over the past two years were GPU and models; in the coming years, they may be electricity, land, and construction time.

Criptos en tendencia

Preguntas relacionadas

QWhat was the most significant action taken by Situational Awareness LP in Q1 2026, as revealed by its 13F filing?

AOver 60% of the fund's new nominal exposure was placed in put options on the semiconductor sector, signaling a major directional bet against or a hedge for the chip industry. This includes significant put positions on VanEck Semiconductor ETF (SMH) and NVIDIA.

QWhich physical infrastructure sectors did Situational Awareness LP increase its long positions in, and why?

AThe fund increased long positions in power and data center infrastructure companies like CoreWeave, IREN, Applied Digital, and bitcoin miners transitioning to data centers (e.g., Bitfarms, CleanSpark, Riot Platforms). This was based on the belief that constraints for AI expansion are shifting from GPU shortages to bottlenecks in electricity, land, and construction capacity.

QWhat was Situational Awareness LP's specific action regarding Intel in Q1 2026, and what does it indicate?

AThe fund completely closed its approximately 20 million call option positions on Intel from the previous quarter and simultaneously established new put option positions. This indicates a complete reversal in view, from bullish to bearish on the company.

QAccording to the article's analysis, what is the core logic behind the fund's seemingly contradictory moves of holding puts on chips while being long on infrastructure?

AThe core logic is that the valuation for chip companies has already priced in high expectations, while the real constraint for future AI growth is the availability of physical infrastructure like power grids and data centers. Therefore, the fund is hedging potential chip valuation pullbacks while betting on the rising value of the downstream infrastructure bottlenecks.

QHow has Situational Awareness LP's performance been since its inception, and who were its notable early backers?

ASince its founding in September 2024, the fund's nominal exposure grew from $225 million to $13.677 billion by Q1 2026. It significantly outperformed the S&P 500, delivering ~47% returns in H1 2025 versus the index's ~6%. Early backers included prominent figures like Nat Friedman, Daniel Gross, and Stripe co-founders Patrick and John Collison.

Lecturas Relacionadas

Hubei State-Owned Assets Achieve the Largest Return in History

After years of anticipation, Yangtze Memory Holdings Co., Ltd. (YMTC) has filed for an IPO on Shanghai's STAR Market, seeking to raise 33 billion yuan—the largest offering in the board's history. This move follows the recent listing of its peer, ChangXin Memory Technologies (CXMT), which reached a market valuation exceeding 4 trillion yuan. Dubbed the "twin stars of domestic memory," both companies, founded in 2016 in Hefei and Wuhan respectively, symbolize China's push for semiconductor self-sufficiency. YMTC's journey began with its predecessor, Wuhan Xinxin, established in 2006. Backed by substantial state investment from Hubei and Wuhan, it evolved into a national memory base. The company achieved key technological breakthroughs, and now ranks as the world's third-largest and China's top NAND Flash manufacturer by sales. Its recent financials are strong, with Q1 2026 revenue of 47.04 billion yuan and net profit of 33.38 billion yuan. Post-IPO, its market value is widely expected to surpass 1 trillion yuan. The potential windfall highlights the success of long-term, patient capital from Hubei's state-owned entities. Key shareholders like Hubei Changsheng, Xintech, and government-backed funds have supported YMTC through years of development. Their collective stake could be worth hundreds of billions after the listing. This model mirrors other successes in Wuhan, such as Huagong Tech, where local state investment during a low point later yielded massive returns. The story reflects a broader national trend of regional transformation through strategic, high-tech investments. Hefei's bet on CXMT, now worth over 3.7 trillion yuan, propelled the city's A-share market cap to 4th nationally, showcasing how a major firm can reshape an entire local industry ecosystem. Similarly, Wuhan's photoelectronics cluster, now worth over 850 billion yuan, aims to become a world-class hub. The takeaway is clear: in the reshuffling of Chinese cities, patient, courageous state investment in core technologies—from memory chips to advanced manufacturing—is proving to be a decisive factor, turning long-term visions into economic reality.

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The Myth of AI Investment Collapses

"The AI Investment Myth Bursts: The Swift Collapse of a $45 Billion Fund The high-flying hedge fund Situational Awareness (SA), founded by 24-year-old former OpenAI researcher Leopold Aschenbrenner, neared total collapse in late July. Once a Wall Street darling, the fund saw its assets under management rocket from $1.5 billion to $45 billion in under a year, driven by a massively leveraged bet on the AI boom. Its core strategy was a 'Texas hedge'—simultaneously buying stocks seen as AI beneficiaries (like chipmakers) and shorting those deemed AI victims (like certain software firms). In reality, both sides of this trade were dependent on unbroken market confidence in AI. This strategy generated staggering returns, peaking at 439% year-to-date. However, it concealed extreme concentration, high leverage (reportedly 3-to-1), and liquidity risks from illiquid private holdings like Anthropic. When semiconductor stocks corrected sharply in late July, SA's long positions plummeted. Simultaneously, its short bets failed as 'AI victim' stocks rose, causing losses on both sides. The fund faced immediate, massive margin calls. With minutes to spare before a forced liquidation by its prime brokers, SA sold its entire public market portfolio at a discount to Citadel on July 30, narrowly avoiding a market-wide cascade. The fund's value crashed from $45 billion to roughly $10 billion (excluding its remaining Anthropic stake). The episode exposes the systemic risks embedded in the frenzied, highly leveraged chase for AI returns. It serves as a stark reminder of the old Wall Street adage: markets can stay irrational longer than investors can stay solvent. The crisis shifts focus from Aschenbrenner's AI predictions to whether capital markets will continue ignoring such dangerous concentration and leverage in pursuit of the next 'sure thing' narrative."

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