Massive debt issuance to fund artificial intelligence infrastructure is pushing long-term US Treasury yields higher, creating a persistent macroeconomic obstacle for Bitcoin even as the Federal Reserve nears the end of its tightening cycle. Minutes from the Fed's Sept. 15-16 meeting showed policymakers citing heavy corporate borrowing for AI buildouts as a key driver of rising yields and elevated term premiums across financial markets.
Key Takeaways
- Fed Policy Target: The Fed raised the federal funds target rate by 25 basis points to 3.75%-4% in September while signaling another increase could occur before year-end.
- Trillion-Dollar Capex: The Bank for International Settlements (BIS) estimates the five largest technology companies will spend over $1 trillion on AI capital expenditures during 2025 and 2026.
- Real Yield Pressure: On Oct. 7, the 10-year Treasury yield stood at 5.28%, with the real yield at 2.92%, forcing non-yielding assets to compete against high guaranteed returns.
AI Debt Issuance Drives Long-Term Rates Upward
Between the Fed's recent policy meetings, nominal yields rose approximately 35 basis points across maturities from two to 10 years. While stronger economic data and monetary policy expectations played a role, Fed contacts directly linked the surge to heavy corporate debt issuance for data centers, chips, and power infrastructure. The Fed's trading-desk manager observed that spreads on corporate debt issued by major cloud providers remained wide due to massive borrowing volumes and extended maturities.
According to the BIS, global AI investment currently stands at roughly $500 billion and could reach between $3 trillion and $4 trillion by 2030. As capital expenditures outpace corporate free cash flow, tech firms are increasingly turning to bond markets and private credit. High long-term rates make risk assets less attractive, a trend also seen as rising Treasury yields and corporate borrowing weigh on traditional markets amid ongoing expected Fed monetary policy shifts.
Overcapacity Risks and Future Liquidity Scenarios
The BIS warned that aggressive competition for market share could lead companies to overcommit capital, raising financial stress if revenues fail to cover debt burdens. Arthur Hayes, co-founder of the defunct BitMEX exchange, outlined a potential timeline where overbuilding creates excess computing capacity and financial distress around late 2027 or 2028.
Hayes argues that if an AI market downturn materializes, central banks will eventually respond with liquidity injections and monetary easing to preserve stability. Under that speculative outcome, monetary expansion could ultimately ignite a fresh bull cycle for crypto assets after years of yield-driven pressure during the massive spending of the AI wave.
Why It Matters
For Bitcoin investors, the primary macro indicator is shifting from short-term Fed benchmark rates to the trajectory of long-term real yields. If corporate AI borrowing keeps the 10-year real yield near 3%, risk assets face a permanent drag because investors can secure high inflation-adjusted returns without taking on crypto volatility. Bitcoin will either need strong organic spot demand to overcome this higher opportunity cost or wait for capital expenditure cuts to ease long-end yield pressures.
