Arthur Hayes: AI Debt Crisis Could Drive Bitcoin to $1M

| coinpaper.com
Maelstrom chief investment officer Arthur Hayes maintains that Bitcoin could reach $1 million by 2030. He expects Bitcoin gains to accelerate in late 2027 or early 2028 if debt-financed AI infrastructure enters a downturn. Hayes says the key risk is the debt behind data centres, chips, power connections and computing equipment, rather than only weaker profits at major technology companies. If AI projects cannot generate enough cash to cover interest, leases and loan repayments, losses could spread across banks, private-credit funds, insurers and infrastructure lenders. The scale of the financing risk has increased. Reuters reported that AI-related borrowing in the US leveraged-finance market reached about $88 billion in 2026, up from roughly $20 billion in early 2025. The IMF also cited Morgan Stanley estimates that data-centre capital expenditure could reach $2.9 trillion through 2028, potentially exceeding hyperscaler cash flow. Apollo estimates that the AI ecosystem could support more than $2 trillion in additional investment-grade debt, with over $1 trillion potentially reliant on private financing and project-level structures. Hayes expects AI capital expenditure growth to slow in the second half of 2027. A credit shock could lead governments and central banks to provide liquidity, potentially supporting Bitcoin as a scarce asset. However, Hayes has previously warned that Bitcoin could first fall to $50,000-$70,000. Bitcoin was trading near $83,895 on 1 October, up about 0.6% over 24 hours. Traders should monitor AI spending, private-credit stress, bond yields, insurer disclosures, central-bank liquidity and BTC momentum. The Bitcoin forecast remains speculative and is not an immediate catalyst.
Neutral
The news is neutral for Bitcoin in the short term because Hayes’s forecast depends on a potential AI credit crisis several years away. The latest borrowing figures and capital-spending estimates highlight rising systemic risk, but they do not confirm that an immediate downturn or policy response is under way. Bitcoin could face volatility if investors reduce risk exposure, especially given Hayes’s warning of a possible decline to $50,000-$70,000. The longer-term scenario is more supportive. If AI infrastructure debt produces widespread losses, governments and central banks could respond with liquidity injections or other forms of financial support. Historically, expectations of easier monetary policy and expanding liquidity have often benefited Bitcoin and other scarce assets. However, the timing, scale and effectiveness of any intervention remain uncertain. Traders should treat the thesis as a macro risk framework, not a direct buy signal, and track credit spreads, private-credit defaults, AI spending, bond yields, central-bank balance sheets and BTC price momentum.