The Limits of AI Debt as a Driver of Treasury Yields
As long-term Treasury yields reach multiyear highs, a deluge of AI-related bond issuance has been cited as a contributing factor.1 The case is based on supply and demand: As more AI debt is issued, the overall supply of debt increases, and yields on all bonds must rise to attract sufficient demand. This effect is strongest if AI debt competes directly with Treasurys for investor dollars. This may be the case for some investors, since the spreads on the highest-rated AI issuers are so low. But since AI issuance accelerated in the fall of 2025, spreads on many hyperscaler corporate bonds have started to creep toward more typical investment-grade levels. As AI debt becomes less like Treasury debt, the direct-competition channel weakens.2
On the other hand, even when AI debt does not compete directly with Treasurys, the sheer scale of AI hyperscaler debt could still overwhelm the debt markets and lead to higher yields for all forms of debt.3 AI infrastructure spending is projected to accelerate further in 2027 and continue at least through 2030.4 Two factors could dampen future issuance, however. First, rising spreads make debt more costly for the hyperscalers. Second, banks may be approaching the limit of the amount of hyperscaler business they can support. Banks buy CDS protection to stay under issuer-level exposure limits, and the cost of buying CDS protection on most hyperscalers has risen even more than bond spreads.5
These market dynamics point toward less direct supply pressure from AI debt and a more constrained path for future issuance, which may limit its contribution to Treasury yields going forward.
The author thanks László Arany for his contribution to this post.
Five-year bond and CDS spreads; bond spread is over SOFR overnight index swap. Source: MSCI, S&P Global
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1 Davide Barbuscia, Ye Xie, and Michael MacKenzie, “AI Is Driving Up Treasury Yields: ‘It Just Touches Everything,’” Bloomberg, Aug. 17, 2026.
2 For many investors, general investment-grade corporate debt does compete directly with Treasurys, such as those invested in an aggregate bond index. In these cases, there is reason to expect that AI debt has an especially strong effect on supply. A lot of investment-grade issuers, such as banks, prefer floating-rate debt, so they use swaps to convert their fixed-rate bonds to floating. This means that their debt issuance is duration-neutral. In contrast, AI issuers, like utilities, prefer fixed-rate debt, so they retain the fixed-rate exposure. Furthermore, if they issue private debt, which is typically floating, they use swaps to convert the floating-rate debt to fixed. This means that AI issuers are creating (public) duration supply from both their private and public issuance. Hugo De Vere, Srini Ramaswamy and Seth Searls, “How AI debt financing impacts duration supply and interest rates,” Dallas Federal Reserve, Feb. 10, 2026.
3 In theory investors should invest in all available debt in proportion to its risk-adjusted yield, which would mean that new supply of any new debt could draw investment dollars away from other forms of debt. Although there are many frictions that limit investment across the credit and duration spectrum, some supply effect is always expected, especially when the magnitude of issuance is high.
4 Lucas Baynes, “The AI buildout comes to the bond market,” Vanguard.com, Aug. 19, 2026.
5 Caleb Mutua and Tasos Vossos, “Hyperscaler Debt Flood Brings Derivatives Bonanza,” Bloomberg.com, May 23, 2026. Here we examine the five current hyperscaler constituents of the S&P Global CDX North America Investment Grade Index: Alphabet, Amazon, Meta, Microsoft and Oracle, which tend to be the most liquid. Notably Alphabet, Meta, and Microsoft were added during the latest index revision in March 2026, reflecting strong demand for protection on those issuers.
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