Bitcoin faces a mounting macro challenge from the artificial intelligence boom, as trillions of dollars in planned infrastructure spending competes for long-term capital and keeps borrowing costs elevated regardless of Federal Reserve policy decisions.
Minutes from the Federal Reserve's September meeting revealed that market participants cited heavy private debt issuance for AI infrastructure as a factor pushing Treasury yields and term premiums higher. Nominal yields rose approximately 35 basis points across maturities from two to 10 years between Fed meetings, though the minutes did not specify how much of this increase came directly from AI financing.
Scale of AI Investment Demand
The financing demands are substantial. The Bank for International Settlements estimates the five largest technology companies will spend more than $1 trillion on AI-related capital expenditure across 2025 and 2026. Global AI investment currently stands at roughly $500 billion annually, with projections suggesting it could reach between $3 trillion and $4 trillion by 2030.
As spending increasingly outpaces corporate earnings and free cash flow, companies are relying more heavily on bond issuance and private credit to fund data centers, chip purchases, and energy infrastructure. The Fed's trading-desk manager noted that spreads on debt issued by major cloud providers remained wide due to the volume and long maturities involved.
The Long-Term Yield Problem
The challenge for Bitcoin investors extends beyond near-term Fed policy. On October 7, the 10-year Treasury par yield stood at 5.28%, with an inflation-adjusted 10-year yield of 2.92%, offering substantial returns from government securities before considering Bitcoin's volatility and drawdown risk.
Even if the Fed pauses interest-rate increases, continued competition for long-term financing could maintain elevated borrowing costs independently of the overnight policy rate. Real yields—which reflect returns after inflation—are particularly relevant for Bitcoin, as they represent the return available from Treasury securities without taking on an asset's volatility.
Longer-Term Risks
The BIS has warned that the AI buildout ranks among the largest technology investment booms in U.S. history. Its research suggests competition for market share could push companies to commit more capital than eventual returns justify, potentially creating financial stress if revenue expectations disappoint.
Some analysts, including Arthur Hayes, co-founder of the defunct BitMEX exchange, argue that the data-center race will ultimately produce excess capacity and a downturn, potentially around late 2027 or 2028. Under such a scenario, if financial stress emerges, policymakers might respond with liquidity support, potentially creating favorable conditions for crypto assets.
What Comes Next
For Bitcoin investors, the immediate focus shifts from when the Fed stops raising rates to what happens to long-term real yields afterward. A sustained decline in the 10-year yield and term premium would weaken the argument that AI capital demand is keeping financial conditions tight. Conversely, continued elevated real yields alongside AI-related borrowing would leave Treasuries and corporate credit competing aggressively for capital even after monetary tightening peaks.
