Arthur Hayes Says AI Bust Could Trigger Money Printing, Boosting Bitcoin

BitMEX co-founder Arthur Hayes has argued that a downturn in artificial intelligence spending could ultimately lead to increased money creation in the United States, creating conditions that he believes would benefit Bitcoin and other crypto assets.

In his latest essay, Safety First, Hayes questioned whether moves by U.S. AI companies including Anthropic and OpenAI to slow the development of artificial general intelligence (AGI) on safety grounds could also reflect weaker-than-expected demand for AI at current prices. His argument centers on the financial exposure created by the rapid expansion of AI infrastructure.

AI Spending Faces a Potential Demand Shock

According to data shared by Wu Blockchain, Hayes argues that a slowdown in AI training expenditure could have consequences beyond individual technology companies. Lower spending on model training could reduce demand for the data centers and semiconductor chips required to support AI development.

Hayes estimates that the resulting pressure could extend to more than $1 trillion of investment-grade debt and hundreds of billions of dollars in lower-rated loans linked to AI infrastructure.

The scale of that financing makes the issue particularly significant in Hayes' analysis. AI infrastructure has required substantial capital investment, with debt financing forming part of the broader expansion. A sustained reduction in spending could therefore put pressure on creditors and other financial institutions with exposure to the sector.

Hayes Outlines Two Potential Government Responses

Hayes argues that a deterioration in credit conditions could eventually put pressure on the U.S. government to respond. He identifies two possible outcomes: the government could become a “compute buyer of last resort,” supporting demand for computing infrastructure, or provide assistance to insurers exposed to AI-related debt.

His argument is based on the potential financial consequences of a sharp reversal in AI infrastructure spending rather than a claim that such a downturn has already occurred.

The former BitMEX executive connects those possible interventions to broader monetary conditions. In his view, government support in response to financial stress could increase dollar liquidity, potentially creating a more favorable environment for Bitcoin and other crypto assets.

Bitcoin at the Center of Hayes' Liquidity Thesis

Hayes' broader argument links developments in the AI sector to the availability of money and credit in the wider financial system. Under his scenario, financial stress caused by an AI spending downturn could eventually result in policies that increase dollar liquidity.

That potential increase in liquidity is the key connection to Bitcoin in Hayes' analysis. Rather than focusing solely on the direct effect of weaker AI demand on technology companies, his thesis centers on how a credit shock could influence government and financial-system responses.

The argument remains Hayes' interpretation of a potential sequence of events. The source material does not establish that AI spending has entered a sustained downturn, nor does it confirm that either of the government responses outlined by Hayes will occur.

For now, the key point in Hayes' essay is the potential relationship between AI infrastructure debt, a possible decline in AI spending, and the policy response that could follow if credit stress becomes significant.

Writer: Victoria Hale
Technology & Blockchain Writer

Victoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.

She prioritises clarity and accuracy when explaining technical developments to a general audience.