Arthur Hayes sees a collision course between artificial intelligence spending and financial reality. The BitMEX co-founder reckons the debt-fueled AI infrastructure boom mirrors the 2008 credit bubble, and if it cracks, Bitcoin could rocket past $1 million as investors flee traditional assets.
Hayes drew the parallel in recent commentary. Tech giants are burning billions on data centers and chips to power AI models, much like banks gorged on subprime mortgages two decades ago. The difference now: losses are already starting to show. Unprofitable AI ventures are piling up debt while revenue streams remain theoretical.
But the picture isn't uniform across Big Tech. Some companies like Microsoft and Google are actually profitable in their AI bets. Others are bleeding cash. That uneven financial strain matters because it means the bust, if it comes, won't be a clean implosion. Instead, Hayes describes it as a "crack-up boom," where inflation spikes, credit seizes, and assets like Bitcoin become emergency exits for spooked capital.
The $1 million target isn't arbitrary in Hayes' view. It reflects the scale of monetary expansion needed to prop up a collapsing credit system. When central banks and governments flood markets with freshly printed money, hard assets and scarce digital currencies tend to catch fire.
This material is informational only and should not be treated as financial advice.
