AI Infrastructure Spending Keeps Long-Term Treasury Yields High, Adding Pressure for Bitcoin

Fed minutes flag AI borrowing as a yield factor

Minutes from the Federal Reserve's September 15–16 meeting indicated that heavy private debt issuance for artificial-intelligence infrastructure is one reason long-term U.S. Treasury yields have been climbing. Nominal yields rose roughly 35 basis points across the two-to-ten-year curve between Fed meetings.

The September action raised the federal funds target rate by 25 basis points to 3.75%–4%. Most officials on the committee judged that another increase would probably be appropriate before the year ends. The minutes did not isolate how much of the 35-basis-point yield increase came from AI-related borrowing specifically. Stronger economic data, expectations of further Fed tightening, geopolitical developments, and uncertainty around Treasury buybacks were also cited as contributing factors.

Key numbers at a glance

• The 10-year U.S. Treasury yield stood at 5.28% on October 7, 2026.
• The 10-year inflation-adjusted (real) yield was 2.92% on the same date.
• Nominal yields rose about 35 basis points across the two-to-ten-year range between Fed meetings.
• The federal funds target rate is 3.75%–4% after the September hike.
• The Bank for International Settlements estimates the five largest tech companies will spend more than $1 trillion on AI-related capital expenditure across 2025 and 2026.
• Global AI investment is estimated at roughly $500 billion today and could reach $3 trillion to $4 trillion by 2030, according to industry projections cited by the BIS.

What the Fed minutes say about AI borrowing

The Fed's trading-desk manager noted that spreads on debt issued by major cloud providers remained wide due to the sheer volume of borrowing and the long maturities involved. Market contacts referenced in the minutes pointed directly to competition for capital from AI-related private issuance as a contributor to higher Treasury term premiums.

The Fed also stated that changes in real rates accounted for most of the increase in longer-dated Treasury yields during the intermeeting period. Real rates represent the return available after inflation.

The minutes did not provide a precise figure for how much of the yield increase was attributable to AI financing versus other factors.

Why high real yields matter for Bitcoin

Bitcoin does not pay a contractual cash flow or yield. When government bonds offer a substantial positive return after inflation — as a 2.92% real yield does — investors can earn income with lower risk than holding a volatile asset like Bitcoin.

This raises the required return on risk for Bitcoin. A pause in Fed rate hikes could lower short-term rate expectations, but it may not provide the same relief at the long end of the curve if companies continue to compete aggressively for financing. In other words, easier monetary policy at the overnight rate does not automatically translate into lower long-term borrowing costs.

Meanwhile, AI-linked equities have so far absorbed higher financing costs relatively comfortably. The Fed observed that companies benefiting directly from infrastructure spending outperformed the broader market, with stronger actual and expected earnings supporting equity prices even as valuation multiples declined.

BIS warns of overspending risk

The Bank for International Settlements has described the AI buildout as one of the largest technology investment booms in U.S. history. The BIS argues that competition for future market share could push companies to commit more capital than eventual returns justify. As debt becomes a larger part of the financing mix, the risk of financial stress and forced asset sales rises if revenue expectations disappoint.

Speculation: the boom could eventually reverse

Arthur Hayes, the co-founder of the defunct BitMEX exchange, has argued that the data-center race will ultimately produce excess computing capacity and a downturn. He pointed out that major technological rollouts have historically been overbuilt and expects financial stress to emerge as new capacity comes online.

If that scenario played out, the same cycle could potentially reverse. A contraction in AI spending would ease competition for long-term capital, lowering Treasury yields and possibly creating a liquidity tailwind for crypto. However, this remains speculation rather than confirmed information. The supplied material does not provide a timeline or definitive trigger for such a reversal.

Sources

• CryptoSlate
• Federal Reserve FOMC Meeting Minutes, September 16, 2026
• Bank for International Settlements, September 10, 2026
• U.S. Treasury Daily Treasury Yield Curve, October 2026

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