AI Stocks Selloff Deepens After Hotter Inflation
AI stocks selloff deepened after hotter October CPI and hawkish Fed signals, lifting Treasury yields and tightening AI infrastructure debt financing.
KEY TAKEAWAYS
- Hotter October CPI and hawkish Fed signals tightened policy expectations and triggered an AI stocks selloff.
- Higher short-dated Treasury yields increased pressure on interest-sensitive tech and AI infrastructure financing.
- Banks and credit investors tightened scrutiny of data-center deals, amplifying credit stress for debt-funded expansion.
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AI stocks selloff intensified on Nov. 10, 2026, after October consumer prices rose more than economists expected and Federal Reserve officials signaled additional rate increases. The moves pushed Treasury yields higher and raised concerns about debt-funded AI infrastructure projects.
Hotter October Inflation Tightens Fed Outlook
The Labor Department reported the Consumer Price Index (CPI) rose 0.4% month over month in October 2026, exceeding the 0.3% forecast and following a 0.6% increase in September. Core CPI, which excludes food and energy, increased 0.3% month over month, above the 0.2% estimate.
Federal Reserve officials responded with hawkish signals. Governor Christopher Waller said he would consider a 50-basis-point rate hike in December if core monthly inflation matched that figure. Dallas Fed President Lorie Logan called for two more increases, while Chicago Fed President Austan Goolsbee warned of rising inflation pressures.
Markets quickly adjusted, pricing roughly an 85% chance of a 25-basis-point December hike and about a 15% chance of a 50-basis-point move. Short-dated Treasury yields rose sharply, with the two-year yield increasing about 18–20 basis points to close near 4.7%. The Treasury market was closed Nov. 11 for Veterans Day.
The inflation surprise and Fed comments pressured technology shares, intensifying a selloff that hit chipmakers and cloud-infrastructure providers. The Nasdaq-100 had lost about $2.5 trillion in market value during the prior Thursday’s rout, pushing the index into correction territory and affecting AI-related names such as Nvidia.
Credit Stress Threatens AI Infrastructure Expansion
Lenders and credit investors have grown cautious about financing data centers and AI build-outs, increasing scrutiny even for deals backed by major technology companies. Goldman Sachs Research projects global hyperscaler debt issuance will rise to $420 billion in 2027 from $250 billion in fiscal 2026, adding pressure to AI infrastructure debt markets.
Credit spreads reflect this strain. The spread on 10-year hyperscaler debt has widened about 50 basis points year to date, compared with roughly 20 basis points for higher-quality industrial borrowers, according to Bank of America credit analyst Yuri Seliger. U.S. high-yield spreads reached about 348 basis points during the recent selloff, while investment-grade spreads rose to roughly 93 basis points. Single-B rated spreads widened 35 basis points to 367 basis points, their highest level since March.
Data-center bond prices illustrate the shift. Galaxy Helios Data Center bonds traded at 89.25 cents on the dollar on Nov. 5, implying a yield near 13%, compared with a roughly 9.9% offering yield in late July.
CoreWeave’s expectation to become profitable in 2028 briefly revived AI sentiment on Nov. 11, easing some concerns about demand supporting debt-funded expansion. However, investors remain focused on inflation, monetary policy, and tighter financing conditions.
