Key Takeaways
- Arthur Hayes frames the AI buildout as a credit bust, not a dot-com repeat.
- Bitcoin may chop between $60,000 and $70,000, with downside to $50,000.
- He expects AI capex growth to decelerate in 2027, with the slowdown becoming apparent by 2028.
What Hayes Thinks the AI Buildout Really Is
Arthur Hayes, co-founder of Bitmex and chief investment officer at Maelstrom, argues that the multitrillion-dollar artificial intelligence infrastructure boom resembles a real estate credit bubble rather than a traditional technology expansion. In an essay titled “Situationship,” published on Aug. 4, Hayes compared data center financing to the 2008 financial crisis rather than the earnings-driven dot-com crash of 2000, arguing an AI credit bust could trigger government intervention and liquidity that propel bitcoin toward $1 million.
Hayes wrote:
“Once the authorities sufficiently panic because their AI-created GDP growth is just another run-of-the-mill property bubble, they will print money in sums greater than the 2008 GFC. This will ultimately drive bitcoin to one million and beyond.”
At the center of Hayes’ thesis are hyperscalers, large cloud companies building data centers used to train and run AI models. Hayes argues that these companies are effectively financing real estate filled with rapidly depreciating hardware. As newer chips produce more computing power with less electricity, lenders could eventually be left financing facilities filled with obsolete equipment.
Why the Fed and Treasury Keep the Credit Flowing
Market participants surveyed by the Federal Reserve have raised similar concerns, with AI-related risks ranking among the top near-term threats identified by respondents. The Federal Reserve Board’s May 2026 Financial Stability Report drew on 20 market contacts interviewed by New York Fed staff in March and April, who flagged equity valuations, debt-financed capital spending, potential labor market damage, and private credit as leading vulnerabilities. Half named AI as a possible shock, up from 30% in the fall 2025 survey.
Banks keep lending into that risk, according to Hayes, as short-term interest rates remain below nominal economic growth while longer-term yields rise. A steeper yield curve widens the spread between banks’ funding costs and lending rates, making loans more profitable. Hayes has repeatedly tied crypto entry points to Federal Reserve policy, including credit extended to data centers, rare earths miners, and weapons producers.
Hayes also sketches a hypothetical government-support mechanism using emergency lending powers. He estimates that the Exchange Stabilization Fund holds $28 billion, and with the 10x leverage used for past Fed-backed special purpose vehicles, Treasury Secretary Scott Bessent could direct roughly $280 billion into loss-making AI ventures. Hayes characterizes the intervention as equity-focused money creation rather than conventional quantitative easing.
Where Hayes Expects Bitcoin to Bottom
Bitcoin peaked in October 2025, then surrendered half its value as AI credit and equity absorbed the marginal dollar, according to Hayes’ analysis. He argues that capital flowing toward AI infrastructure reduced the liquidity available to support further bitcoin gains. Hayes has warned that the price may stall until liquidity returns.
