Fed officials said the AI buildout was adding to inflation when they raised rates in September
For goods prices, the minutes credit AI where they used to credit tariffs, and some officials worry demand will outrun supply.
On October 7, 2026, the Federal Reserve released the minutes of its September meeting, the one where it raised interest rates by a quarter point. AI comes up again and again, and mostly as a reason prices won't come down.
Several officials said goods prices stayed high because the AI buildout's effect was growing just as the tariffs' effect faded. So the culprit's changed. Some went a bit further and warned it could push demand past what the economy can supply.
- Meeting
- September 15–16, 2026
- Decision
- raise the federal funds rate by 1/4 percentage point to 3-3/4 to 4 percent
- Vote
- 12–0
- Next meeting
- October 27–28, 2026
What the officials said about AI
When the minutes name what's keeping inflation up, they give two causes. Geopolitics is one, through oil and fuel. AI's the other.

ongoing geopolitical developments, which had pushed up prices for crude oil and refined fuel products, and surging AI-related investments were contributing to inflation pressures
For core goods the handover is spelled out: prices there stayed elevated "as effects of the AI buildout appeared to increase while the effects of tariff increases waned." Some participants said the buildout was also raising what businesses pay for transportation and input materials.
The minutes find AI in wages too. Skilled workers in sectors tied to the buildout have been getting strong raises. A few participants even listed expectations of AI-related borrowing among the possible reasons long-term Treasury yields went up (so the government's own borrowing costs may be moving, a little, on what tech companies plan to borrow).
Why it mattered for the rate decision
Every participant backed the increase (the statement went out on a 12–0 vote). A couple of them tied it to AI directly, saying a higher rate would help keep price rises from energy and "AI-related demand from broadening out" into something stickier.
the AI buildout could cause aggregate demand to outpace aggregate supply over the medium term, putting upward pressure on inflation
The long view is kinder. Granted, it's hedged: participants generally expected AI investment to lift productivity in the coming years, but they couldn't say by how much or when. A few flagged the risks of adopting AI fast, cybersecurity among them, which could drag on productivity in some cases.
Most participants thought another increase would likely be appropriate by year end. The committee meets next on October 27 and 28, 2026.
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