Arthur Hayes says AI rescue liquidity could send Bitcoin price to $1,000,000

A notable development has hit the crypto markets. Arthur Hayes outlined a path to $1 million Bitcoin price built around AI absorbing liquidity, the buildout collapsing under debt, authorities printing, and capital rotating into crypto. Hayes made the argument on Bankless, saying that AI became the dominant capital sink, and his Substack essay noted that roughly $1. 5 trillion in AI-related debt was issued between November 2022 and mid-2026.

The amount nearly matches the $1. 5 trillion rise in the M2 money supply over the same period, with newly created dollars absorbed by data centers and GPU clusters before reaching Bitcoin's bid. AI-related debt issued between November 2022 and mid-2026 matched the $1.

Market Dynamics

5 trillion rise in U. M2 money supply over the same period. Luke Gromen, founder of Forest for the Trees, arrived at the same diagnosis from a different entry point.

Speaking on the Coin Stories podcast in June, he described the current market structure as unhealthy beneath record equity indices, with AI-related names concentrating the gains while breadth deteriorated. Gromen said: “AI is sucking all the oxygen out of the room, all the liquidity out of the room, and I think that's happening to Bitcoin as well. ” He called Bitcoin “one of, if not the last functioning smoke alarm of liquidity,” a signal asset that warns investors about the broader liquidity picture before other markets confirm it.

Gromen sold most of his Bitcoin position near the top and has only nibbled back in, a stance consistent with Hayes' near-term bearishness on crypto. He extends the argument to AI infrastructure accounting, where companies book revenue upfront while spreading construction costs over time, inflating reported earnings and masking the moment when a buildout slowdown forces a sharp deceleration in cash flows. Serious macro institutions are also worried about Bitcoin price Apollo's chief economist Torsten Slok wrote that the top 10 companies in the S&P 500 are more overvalued than the top 10 were during the 1990s tech bubble.

Market Impact

Those 10 names now represent roughly 40% of the index, meaning that $100 invested in the S&P 500 is a bet that the AI story will continue. A broad correction in that group spreads to every passive portfolio worldwide. The Bank for International Settlements published a 2026 bulletin documenting what Hayes describes, with central bank credibility behind the warning.

The BIS found that AI infrastructure investment is moving from internal cash flows to external debt as the scale of required investment overwhelms hyperscalers' free cash flow. Private credit outstanding to AI-related companies had grown from near zero to over $200 billion, with that share of total private credit climbing from below 1% to almost 8%. The BIS flagged credit-standard and financial stability risks when expected returns fall short, and found that hyperscalers are also moving AI infrastructure debt off their balance sheets through special-purpose vehicles and operating leases, which the BIS calls “shadow borrowing.

” These moves strengthen links between tech companies and non-bank investors, creating new channels for the transmission of shocks if sentiment reverses. Once AI infrastructure carries more than $200 billion in private credit with five-to-seven-year maturities, an AI slowdown becomes a credit-market risk rather than a narrow tech-sector problem. Liquidity drain Hayes and Gromen argue AI absorbed capital that might otherwise have supported Bitcoin price Explains why BTC can lag despite money supply expansion Equity concentration Apollo says the top 10 S&P 500 names are more overvalued than during the 1990s tech bubble A correction in AI-heavy mega caps would hit passive portfolios globally Debt-funded buildout BIS says AI infrastructure financing is shifting from internal cash flow to external debt Turns AI from a tech-stock story into a credit-market story Private credit exposure BIS says AI-related private credit has grown from near zero to more than $200B Creates non-bank transmission channels if AI returns disappoint Shadow borrowing BIS flags SPVs and operating leases used to finance infrastructure off balance sheet Makes the true leverage behind AI harder to see Policy response Hayes argues a collapse would force authorities to print Bitcoin price upside depends on whether rescue liquidity seeks scarce assets Where macro voices diverge Lyn Alden's framework provides Hayes with the financial backdrop and stops at a far less dramatic conclusion.

Crypto markets are watching this development closely as investors weigh its potential impact on prices.