The Core Argument: Liquidity Captured by AI

Arthur Hayes, the former CEO of BitMEX, has laid out a detailed explanation for why Bitcoin failed to sustain its upward momentum despite significant increases in the US money supply. In his analysis, the explosive growth in AI-related capital expenditures has effectively redirected trillions in newly created dollars away from cryptocurrencies and into data centers, chips, and power infrastructure.

According to Hayes, US M2 money supply expanded by approximately $1.5 trillion between November 2022 and the present. During the exact same period, AI companies issued roughly the same amount in debt to fund their massive buildout. The numbers align almost perfectly, leading to his blunt conclusion that AI absorbed every available dollar before it could flow into Bitcoin markets.

Timeline of Divergence Between Bitcoin and AI

Bitcoin recovered sharply from its post-FTX lows, climbing from around $15,000 to a peak near $125,000 by October 2025. However, this performance paled in comparison to AI-linked stocks. Nvidia, for instance, delivered roughly 11x returns over a similar timeframe, outpacing Bitcoin's 7x gain. The gap widened notably from late 2024 onward as AI capital spending accelerated dramatically.

Hayes notes that his earlier models focused primarily on total fiat liquidity creation without fully accounting for where that capital was actually being deployed. The AI sector's enormous requirements for specialized hardware, electricity generation, and supporting facilities created a powerful magnet for investment dollars.

What Could Deflate the AI Bubble?

Hayes identifies several potential triggers that could lead to a sharp correction in AI stocks. Rising oil prices, particularly amid geopolitical tensions, threaten to increase energy costs for power-hungry data centers. He also points to massive capital raises by major players including SpaceX, Anthropic, and OpenAI, which he compares to the scale of dot-com era IPOs but compressed into a much shorter timeframe.

Additionally, Hayes suggests political factors could play a role, such as potential anti-AI rhetoric from figures seeking voter support ahead of elections. He questions whether the AI sector can maintain its pace at sustained high energy prices.

Hayes' Portfolio Adjustments and Outlook

In response to these dynamics, Hayes recently sold positions in several alternative cryptocurrencies including HYPE, NEAR, WLD, and ZEC. He has maintained holdings in Bitcoin and Ethereum, positioning for a scenario where an AI bubble burst triggers broader financial stress.

His thesis is that a rapid decline in AI stocks could precipitate a financial crisis, prompting aggressive monetary expansion by authorities. Historically, such environments have favored Bitcoin as a store of value. Hayes expects volatility in the near term but remains confident in a subsequent recovery for Bitcoin once the liquidity dynamic shifts.

Broader Market Implications

This perspective challenges conventional narratives around Bitcoin's performance, shifting focus from macroeconomic factors alone to the competitive battle for capital between emerging technologies. While Bitcoin has shown resilience, the unprecedented scale of AI investment has created a significant headwind by monopolizing available liquidity.

Investors and market observers will be watching energy markets, corporate fundraising activity, and policy signals closely. Hayes himself has taken positions in US energy producers as a hedge against rising hydrocarbon prices and plans to reassess broader market exposure in early September after current dynamics play out.

The coming months could prove decisive in determining whether the AI boom continues its dominance or gives way to renewed opportunities across digital assets.