Bitcoin Price Could Get a Boost as Arthur Hayes Predicts AI Bubble Bust

As Bitcoin fell toward $83,800, roughly $403.58 million in leveraged crypto long positions were liquidated within an hour. The sharp move highlights the market’s current risk-off environment, which Arthur Hayes believes could eventually lead to an AI-related credit bailout and a fresh wave of liquidity into crypto.

The key part of Hayes’s thesis is that the multitrillion-dollar AI data-center expansion could initially weigh on risk assets. However, if the financial strain becomes severe enough to trigger government intervention, the resulting liquidity injection could ultimately benefit Bitcoin.

The enormous scale of AI infrastructure spending makes its financing particularly important. Estimates cited in the report project U.S. AI infrastructure costs could reach between $2.8 trillion by 2030 and $10.3 trillion by 2032. Meanwhile, credit platform Atrium estimates that developers have already accumulated at least $1.3 trillion in debt.

Hayes’s argument goes beyond the amount being spent. He believes the rapid buildout could create an oversupply of computing capacity while leaving infrastructure providers with significant financial obligations. Those commitments ultimately depend on AI customers being able to pay for the computing capacity they have reserved.

Companies such as SpaceX, OpenAI and Anthropic are among the expected sources of demand. Hayes argued that none of them is currently profitable, while Columbia economist Stijn van Nieuwerburgh estimated that generating a 10% return on the infrastructure investment would require approximately $3.7 trillion in annual revenue by 2032.

That mismatch between infrastructure spending and the economics of AI customers sits at the center of Hayes’s argument. The real test could come when newly built capacity becomes operational, which he expects around late 2027 or 2028. Strong demand for computing power today does not necessarily mean every project will generate enough revenue to justify its financing once the capacity is delivered.

The potential impact on Bitcoin would come later. Hayes expects a credit crisis to force policymakers into a bailout, with the resulting excess liquidity eventually moving into crypto markets. For that scenario to play out, however, financial stress would first need to emerge and policymakers would then need to respond with measures that meaningfully expand liquidity.

The report noted that Bitcoin was roughly 33% below its October 2025 record high of $126,000. The $403.58 million in long liquidations recorded in a single hour as BTC approached $83,800 demonstrates how quickly leverage can intensify a market decline. However, the liquidation figure alone does not establish a price floor or indicate how severe another potential sell-off could become.

A major credit shock could initially produce another broad risk-off move, with asset prices falling, leveraged positions being closed and liquidation pressure increasing. Bitcoin would not necessarily avoid that phase simply because Hayes expects it to benefit from a later bailout. The crypto market’s exposure to leverage and shifting macro expectations remains an important source of volatility.

Hayes’s overbuilding thesis would lose strength if AI customers ultimately prove capable of paying for committed computing capacity and infrastructure projects generate sustainable returns. If customers struggle to meet those obligations when new capacity comes online in late 2027 or 2028, however, Hayes expects the resulting credit stress to potentially lead to a crash followed by a bailout.

Even under that scenario, the Bitcoin argument depends on two separate developments. The downturn would have to become serious enough to trigger policy intervention, and that intervention would need to generate liquidity that reaches crypto markets rather than simply stabilizing the broader credit system.

Expectations for Federal Reserve policy and incoming inflation data could also influence liquidity conditions and investor risk appetite, creating another variable between a potential policy response and Bitcoin’s eventual price performance.

For now, Hayes’s view is better understood as a long-term macro thesis than a short-term Bitcoin trading signal. An AI credit bubble could eventually become a liquidity catalyst for Bitcoin if excessive infrastructure spending creates financial stress and prompts a liquidity-focused rescue. Until those conditions emerge, the clearest near-term takeaway is that leveraged positions remain highly exposed to further volatility.

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