Arthur Hayes on Bitcoin, AI, and the Path to $1 Million

The $1.5 Trillion Liquidity Drain That Suppressed Bitcoin

Hayes identifies a specific mechanism that he believes explains Bitcoin's underperformance since late 2022. Between November 2022 and mid-2026, U.S. M2 money supply rose by roughly $1.5 trillion. Over the same period, AI companies issued roughly $1.5 trillion in debt to fund data center construction and GPU purchases .

"Bitcoin never had a chance," Hayes wrote, because newly created dollars were absorbed by AI infrastructure before they could flow into crypto markets . This liquidity vacuum, in his view, explains why Bitcoin fell about 50% from its October 2025 all-time high of $126,000 to the $60,000–$70,000 range . Bitcoin cannot sustainably rally until the AI bubble pops and that liquidity is redirected through monetary rescue .

Timeline: Credit Crunch 2027–2028

Hayes expects the AI credit bubble to burst around 2027–2028 . He pegs the trigger to a slowdown in announced capital expenditure growth — when hyperscalers stop accelerating their data center buildout, the credit that keeps flowing past the point of economic viability will begin to default, the way mortgage lending continued past the peak of the housing market in 2006 .

When overleveraged AI lenders and hyperscalers begin defaulting, Hayes predicts central banks and governments will respond with enormous liquidity injections — printing money to backstop the system, just as they did after 2008 . That flood of newly printed money is the mechanism he believes will send Bitcoin to $1 million or higher . He does not give a fixed deadline for the $1 million target but sees further near-term downside for Bitcoin before the crisis fully unfolds .

Bitcoin's Current Position: Bottoming Between $60K and $70K

For the near term, Hayes says Bitcoin is building a bottom in the $60,000–$70,000 range, with a downside floor of $50,000 . He argues that as AI capital expenditure growth slows and credit stresses build, Bitcoin's relative value will reassert itself .

In earlier essays (February 2026), Hayes described Bitcoin as a "global fiat liquidity fire alarm" — its divergence from the Nasdaq, which remained relatively flat while Bitcoin plunged, signaled a coming credit crisis that traditional equity markets had not yet priced in .

Broader Context: Burry vs. Hayes on the AI Bubble

Hayes is not alone in warning about AI excess. Michael Burry of "The Big Short" fame has repeatedly warned that AI stocks are a bubble.

• In May 2026, Burry said the market feels like "the last months of the 1999–2000 dot-com bubble," with AI dominating every conversation and no one discussing risks .
• In January 2026, he warned that government intervention cannot stop an AI bust, calling the problem "too big to save" .
• He has been short AI stocks — holding put options on Nvidia, Applied Materials, and the SOXX semiconductor ETF — and sounding alarms since late 2025 .

However, there is a crucial difference between the two investors. Burry sees the AI bust as a potential systemic collapse that bailouts cannot fully contain, whereas Hayes sees the bailout itself as the bull case for Bitcoin . In Burry's view, the scale of the AI debt bubble is so large that government rescue efforts will fail to prevent a crash. In Hayes's view, the rescue effort will be so massive that it creates the liquidity flood that drives Bitcoin to $1 million.

Bottom Line

Hayes's thesis in "Situationship" is a three-act play: (1) the AI infrastructure buildout is a debt bubble on the scale of 2008 subprime; (2) when it bursts around 2027–2028, central banks will print trillions in rescue liquidity; and (3) that money will flow into hard assets like Bitcoin, pushing it past $1 million. Meanwhile, Bitcoin is range-bound ($60k–$70k, floor $50k) until the AI credit cycle breaks.