Arthur Hayes, the BitMEX co-founder and Maelstrom chief investment officer, has a new theory for why Bitcoin (BTC) hasn't performed as expected. In his view, the answer lies in the surge of artificial intelligence (AI) spending, which has drained liquidity from the crypto market. Hayes' liquidity thesis, which posits that Bitcoin should benefit from the creation of new fiat money, has been challenged by the recent sharp decline in BTC despite continued money creation. This has led him to re-evaluate his mental model, and he now believes that the money created has been directed towards AI instead.
What makes this particularly fascinating is the sheer scale of AI-related debt. Hayes estimates that $1.5 trillion in AI-related debt was issued between 2022 and 2026, with the majority coming from 2025. This debt has financed the buildout of AI, leaving little liquidity for Bitcoin to absorb. In my opinion, this is a critical insight into the current state of the market, as it highlights the competition for liquidity and the impact of AI spending on traditional financial markets.
One thing that immediately stands out is the timing of this debt issuance. The AI buildout has coincided with a period of high money creation, which has led to a lack of liquidity for Bitcoin. This raises a deeper question: How will the market adjust to this new dynamic? Will Bitcoin be able to recover, or will it continue to struggle as liquidity remains tight?
From my perspective, the bearish outlook for risk assets, including Bitcoin, is a result of the AI bubble. As investors seek to free up cash for major IPOs, such as SpaceX, Anthropic, and OpenAI, they may be forced to sell other holdings, leading to a broad selloff. However, this also presents an opportunity for Bitcoin. If the AI bubble bursts, central banks may be forced back into money-printing mode, creating a new destination for capital.
What many people don't realize is that Bitcoin's role as a 'piggy bank' may be more relevant than ever. In an environment flooded with freshly printed money, Bitcoin could become a safe haven for investors seeking to protect their wealth. This raises the question: How will the market perceive Bitcoin in the event of an AI bubble burst? Will it be seen as a store of value or a speculative asset?
In conclusion, Arthur Hayes' new theory provides a fresh perspective on the current state of the market. While the bearish outlook for risk assets is concerning, it also presents an opportunity for Bitcoin. As the AI bubble continues to unfold, the market may be forced to re-evaluate its assumptions, and Bitcoin could emerge as a key player in the new financial landscape.
