Arthur Hayes Points to Potential AI Credit Stress in 2027–2028
The Maelstrom chief investment officer says a slowdown in AI infrastructure spending could prompt government liquidity creation and drive Bitcoin to $1 million or more.
Maelstrom Chief Investment Officer Arthur Hayes has renewed his $1 million Bitcoin (BTC) outlook, saying a potential artificial-intelligence infrastructure credit crisis could create conditions for a long-term rise in the asset.
Hayes outlined the view in an Aug. 4, 2026, essay, arguing that AI infrastructure spending resembles a credit story like the 2008 financial crisis more than an earnings story like the 2000 dot-com crash. He said Bitcoin could begin a sustained advance as growth in AI capital spending slows and governments respond by creating money.
“This will ultimately drive Bitcoin to one million and beyond,” Hayes wrote.
His timeline points to mid-to-late 2027 as a possible period when announced AI capital-expenditure growth starts to lose momentum, with the slowdown becoming more apparent in 2028. The window refers to potential pressure on AI spending, not a firm deadline for Bitcoin to reach $1 million.
Hayes expanded on the argument during a June 22, 2026, interview. He focused on financing models that spread graphics-processing unit costs over five to six years even though chip performance improves on a two- to three-year cycle.
That gap could weaken borrowers and financial institutions if spending on AI infrastructure loses pace, Hayes said. In his scenario, a credit event larger than the 2008 crisis would lead authorities to inject fiat liquidity, some of which could move into crypto markets.
“This is the big print,” Hayes said. He also cautioned, “I don’t know when this is going to happen.”
The thesis relies on a sequence of possible developments: data-center construction slows, lenders continue extending credit, weaker borrowers face solvency problems and governments intervene. Investors could then redirect liquidity toward Bitcoin after losing confidence in further AI infrastructure spending.
Hayes compared that potential chain with the U.S. housing crisis from 2006 through 2008 while stressing that neither the timing nor the scale of an AI credit event is established. The $1 million figure remains his personal forecast, and Hayes has not specified a year for the target.
