Arthur Hayes Says AI Spending Pullback Could Lead to Liquidity Boost for Bitcoin

Overview

• Hayes published an essay titled “Safety First” on Sept. 22 that lays out a chain of events: weaker AI demand could strain financed data centers, prompt government purchases or insurer rescues, and increase dollar liquidity that he says would help Bitcoin.
• His forecast rests on the scale of AI finance: Apollo’s August research projects roughly $5 trillion of AI infrastructure spending through 2030 and suggests AI-related financing could support more than $2 trillion of additional investment-grade debt.
• Regulators and market data qualify Hayes’s scenario because the NAIC has warned that private credit has lower liquidity and transparency while Moody’s estimates direct insurer exposure to data centers at up to about $20 billion and finds no evidence of broad insurer insolvency from AI holdings.
• Near-term policy and market signals complicate the outlook: the Federal Reserve raised rates by 25 basis points on Sept. 16 and major financing initiatives continue, including Nvidia-led compute-finance plans and SoftBank bond marketing, which show capital remains available for AI projects.
• The argument is speculative rather than established fact, so observers should watch private-credit valuations, insurer disclosures and any official policy moves as the clearest triggers that could make Hayes’s liquidity-to-Bitcoin pathway real; Bitcoin traded near $85,700 after recent gains.