In a surprising twist, former BitMEX chief Arthur Hayes has turned his analytical lens toward the burgeoning AI boom, arguing that it has siphoned liquidity away from Bitcoin and other risk‑tolerant assets.

Hayes’s warning comes after a period during which Bitcoin has hovered near its lowest level since February, trading around $65 000. In a series of posts on StockTwits that were later reported by outlets such as MSN, Binance, and Yahoo Finance, he pointed out that AI‑related debt issuance of roughly $1.5 trillion between 2022 and 2026 has absorbed the dollar supply that might otherwise have flowed into the crypto market.

According to Hayes, a “liquidity rotation” has shifted capital into high‑profile AI equities—including the IPOs of SpaceX, OpenAI, and Anthropic—leaving Bitcoin thinly traded and unable to capture the broader liquidity surge that has benefited other risk assets.

The former BitMEX CEO has also adjusted his own portfolio. Reports from Blockonomi and CoinEdition show that he sold his positions in Hyperliquid’s HYPE token, NEAR, WLD, and ZEC, while keeping long positions in Bitcoin and Ethereum. He has described the AI bubble as a potential source of “renewed money printing” should the bubble burst, a scenario he believes would inject capital that Bitcoin could absorb.

Hayes cited several macro‑economic factors that he expects to weigh on risk assets through the first half of 2026: AI‑driven job displacement, geopolitical tensions, and central‑bank intervention. He noted that AI’s capital demand is closely tied to data‑center capital expenditure, a trend that has intensified the liquidity drain from crypto.

Beyond Bitcoin, Hayes has expressed skepticism toward all risk assets, with the exception of energy commodities, which he views as a more stable store of value. This stance aligns with his recent portfolio moves, where he has increased exposure to gold, silver, and energy‑related stocks.

Market observers point out that Hayes’s warnings arrive at a time when Bitcoin’s on‑chain activity remains subdued. Analysts note a lack of significant inflows from institutional investors and a continued preference for AI‑related equities among both retail and institutional traders. The broader crypto market has also seen a decline in trading volume, a trend that dovetails with Hayes’s liquidity narrative.

While Hayes predicts a potential rebound for Bitcoin following an AI bubble burst, he cautions that an AI stock correction could pressure the crypto market before any recovery. He has suggested that the market could experience a sharp downturn in risk assets, with Bitcoin and Ethereum potentially suffering short‑term losses before benefiting from a subsequent liquidity injection.

The crypto community remains divided over Hayes’s assessment. Some analysts argue that Bitcoin’s resilience to liquidity shocks has been proven during previous market cycles, while others see merit in his observation that AI activity has captured a significant portion of new capital.

As the AI sector continues to attract investment, the question of how much liquidity will remain available for Bitcoin and other risk assets remains open. Investors and market participants will likely monitor upcoming AI‑related corporate actions and central‑bank policy decisions closely, as these developments could shape the liquidity environment for crypto in the coming months.