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

链捕手Published on 2026-05-20Last updated on 2026-05-20

Abstract

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.

Related Questions

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.

Related Reads

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

The article discusses the evolution of on-chain credit, distinguishing three markets: overcollateralized crypto lending, unsecured lending (largely unsuccessful), and asset-backed credit (ABC). ABC, backed by identifiable real-world collateral with legal recourse, is identified as the fastest-growing category and the only one credibly addressing adverse selection—the core problem in credit where the riskiest borrowers self-select. Current growth in on-chain Real World Assets (RWAs), particularly tokenized private credit funds (e.g., Maple Finance, Centrifuge), is substantial but often merely "wraps" existing fund structures, inheriting their risks rather than solving adverse selection at the protocol level. The regulatory landscape is a key driver, with the US GENIUS Act (prohibiting stablecoin issuers from paying yield) and the proposed CLARITY Act (closing loopholes on indirect yield) set to redefine permissible yield-bearing products. This makes vaults (like ERC-4626) the critical architecture—they become the primary compliant vehicle for delivering yield, functioning as issuance, disclosure, distribution, and recovery mechanisms. The author's thesis is that the correct post-GENIUS/CLARITY architecture involves building ABC solutions where credit assessment, structure, and recovery are encoded directly into the smart contract vault layer, moving beyond mere tokenized fund wrappers to solve adverse selection fundamentally and ensure regulatory compliance.

Foresight News4m ago

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

Foresight News4m ago

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

**Summary of TechFlow Intelligence Report:** The newsletter covers several key tech and finance developments. In AI, Anthropic's new Fable model faced backlash for secretly limiting biomedical research capabilities and enforcing a 30-day data retention policy, prompting the company to promise more transparent adjustments. In a related story, Anthropic's founder revealed his departure from OpenAI was due to dishonesty from Sam Altman, not safety concerns. Meanwhile, OpenAI is considering significant price cuts to compete with Anthropic, potentially sparking a price war. In crypto/Web3, BlackRock filed a new amendment for a yield-generating Bitcoin ETF, while Bank of America's CEO warned that stablecoin yields could drain trillions from traditional banks. U.S. Senator Cynthia Lummis advocated for the U.S. to officially accumulate Bitcoin reserves. In hardware, Nvidia released the DiffusionGemma-2-6B image model optimized for efficient inference, and AMD promoted its unified memory architecture to challenge Nvidia's dominance. TSMC's CFO hinted at possible price increases due to soaring AI chip demand. A major legal ruling in Germany held Google legally responsible for inaccurate information generated by its AI Overviews feature. Google Chrome also moved to fully block ad-blocker workarounds like uBlock Origin. Macroeconomic headlines included U.S. CPI rising to 4.2% (a 3-year high) and Iran's complete closure of the Strait of Hormuz, raising oil price and inflation fears. South Korean markets saw continued volatility with massive foreign capital outflow. Other notable stories: Microsoft expanded its Copilot AI assistant "Mico" globally; a study found r/wallstreetbets users' stock picks outperformed Wall Street; a fully autonomous drone killed a human soldier for the first time, raising AI ethics concerns; and a Chinese hospital used brain-computer interface technology to help a blind person "see." The overarching theme connects debates over AI boundaries and responsibility (Anthropic's restrictions, Google's liability, lethal autonomous drones) with real-world economic and geopolitical turmoil (inflation, Strait of Hormuz closure, market instability), highlighting the tense interplay between technological advancement and global chaos.

marsbit17m ago

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

marsbit17m ago

Alibaba's Yet Another New Business Division: What Signal Does It Send?

Alibaba has established a new "Token Foundry" business unit, merging its Tongyi large model division and Future Life Lab. Led directly by Group CEO Wu Yongming, this marks the company's third significant AI organizational reshuffle in 2026, following the creation of the Alibaba Token Hub (ATH) and a Group Technology Committee. The move signals a strategic shift from consolidating AI resources to accelerating productization and commercialization. The "Token Foundry" name reflects Alibaba's ambition to become a foundational supplier in the AI era, focusing on model development and commercial application. Key teams, including those behind the high-performing HappyHorse video generation model, have been integrated into the new unit. Concurrently, Zhou Jingren, architect of the Qwen model series, has been appointed Group Chief Scientist to lead a new AI Future Research Institute, focusing on long-term technological breakthroughs like Agent capabilities. This restructuring creates a clear four-layer AI architecture within Alibaba: the research institute for frontier exploration, Token Foundry for core models and commercialization, MaaS for platform services, and business units like Qianwen (C端) and Wukong (B端) for end-user applications. The adjustments align with a global trend among tech giants like Google and Microsoft to centralize AI leadership under the CEO and deeply integrate research with business units. The urgency is driven by a narrowing competitive window. Alibaba has announced its AI business is now entering a commercialization phase, with AI-related revenue seeing triple-digit growth for eleven consecutive quarters. The company faces intense competition in the MaaS (Model-as-a-Service) sector from rivals like ByteDance and Tencent. The Token Foundry initiative represents Alibaba's effort to streamline execution and enhance competitiveness in this critical, fast-evolving landscape.

marsbit41m ago

Alibaba's Yet Another New Business Division: What Signal Does It Send?

marsbit41m ago

From Return to Resignation: Chen Hang's 437 Days at DingTalk

The 437-Day Return and Departure of Chen Hang at DingTalk This article chronicles the 437-day period from March 31, 2025, to June 11, 2026, when Chen Hang (also known as "No Move") returned as CEO of DingTalk, the enterprise communication platform he originally founded, only to later step down. Chen Hang, the creator of DingTalk in 2015, was brought back by Alibaba in 2025 after the company acquired his subsequent startup, HHO. His return was driven by Alibaba's renewed focus on AI and DingTalk's strategic role as its key to-B AI application. However, his aggressive management style, marked by strict work policies like mandatory clock-ins and extended hours, quickly caused internal friction and was criticized as being at odds with Alibaba's culture. Despite the internal turmoil, Chen Hang drove significant product launches. In August 2025, he unveiled "AI DingTalk 1.0," featuring new products like the AI-native entry point "DingTalk ONE." By March 2026, he announced "Wukong," touted as the world's first enterprise-grade AI-native work platform, representing a fundamental rebuild of DingTalk's architecture. The turning point came in early June 2026. A detailed internal post criticizing DingTalk's work culture went viral, followed by a public critique from a former executive. This prompted an unprecedented public rebuke from the Alibaba Partners Committee, which stated such management was not aligned with company values. One day later, on June 11, Alibaba announced Chen Hang's departure. He was succeeded by Chen Yusen, a 32-year-old technical expert known for founding cybersecurity firm Changting Technology. While Chen Hang's tenure laid the technical foundation for DingTalk's AI transformation with "Wukong," his leadership style ultimately led to his replacement as the company seeks a new direction under younger leadership.

marsbit54m ago

From Return to Resignation: Chen Hang's 437 Days at DingTalk

marsbit54m ago

Trading

Spot
Futures

Hot Articles

How to Buy GENIUS

Welcome to HTX.com! We've made purchasing Genius (GENIUS) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Genius (GENIUS) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Genius (GENIUS)After purchasing your Genius (GENIUS), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Genius (GENIUS)Easily trade Genius (GENIUS) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

2.8k Total ViewsPublished 2026.04.29Updated 2026.06.02

How to Buy GENIUS

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of GENIUS (GENIUS) are presented below.

活动图片