Federal Reserve Chairman Kevin Warsh said on August 28, 2026, that artificial intelligence is not only a source of potential economic growth but a new variable that could change how the central bank conducts monetary policy. Speaking at the Federal Reserve Bank of Kansas City’s Jackson Hole Economic Policy Symposium, Warsh warned that AI may alter productivity, inflation dynamics, labor markets, financial conditions and the reliability of the models used to set interest rates.
What Warsh said about AI and monetary policy
Warsh described AI as “a new variable—potentially a new factor of production—that will have consequences for both the economy and the conduct of monetary policy.” His point was methodological as much as technological: the relationships policymakers rely on can change, so rules calibrated to the past may become less dependable.
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He cited the principle that “the factors most relevant to the proper conduct of monetary policy change over time.” In practice, that means the Fed may need to update its models and policy framework more often instead of assuming that historical links among unemployment, inflation, interest rates and output will remain stable.
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AI can push prices in opposite directions, and the timing matters. Investment in data centers, chips, electricity, water and other infrastructure can raise demand and measured prices before businesses achieve significant productivity gains. Later, automation and better forecasting could expand supply and reduce costs.
In congressional testimony on July 15, 2026, Warsh said AI investment would probably increase measured prices over the following 12 months. He also stressed that a one-time change in the price level is not necessarily continuing inflation if supply expands afterward. Policymakers therefore have to distinguish a temporary relative-price adjustment from a broad, persistent rise in prices.
Three channels identified by New York Fed research
| Channel | What AI can change | Policy issue |
|---|---|---|
| Cyclical transmission | How demand and supply shocks pass through to output, employment and prices | Historical estimates of inflation and employment responses may become less reliable |
| Structural transition | Potential output, productivity and the natural rate of interest | The appropriate level of interest rates may shift as the economy’s capacity changes |
| Financial stability | Asset valuations, leverage and concentration in widely used models or technology providers | A financial shock could amplify an otherwise manageable economic adjustment |
These channels come from Simone Lenzu’s New York Fed Staff Report 1192, “Artificial Intelligence and Monetary Policy,” published in April 2026. The report also warns of an AI-specific stagflation risk: adoption bottlenecks could create cost-push inflation while financial markets price in large future gains. Higher interest rates alone would not remove those supply constraints.
Could AI change interest-rate policy?
AI could affect both sides of the rate-setting equation. If sustained productivity growth raises potential output, the economy may be able to expand faster without generating inflation. That could eventually support a higher natural rate of interest—the inflation-adjusted rate consistent with stable employment and prices. If AI instead causes labor-market disruption, weakens demand or increases financial fragility, the appropriate rate path could be lower.
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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11The difficulty is that investment, hiring and asset-price effects may appear before measured productivity. The Fed must decide whether early price pressure reflects overheating, a temporary supply transition or an economy whose productive capacity is about to rise. Those judgments influence whether officials hold rates high, cut them or wait for more evidence.
Why Warsh is questioning routine forward guidance
Warsh argued that forward guidance, widely expanded during the Global Financial Crisis, has “overstayed its welcome.” Guidance about the Fed’s likely next move can help when uncertainty is unusually high, but it can also make markets focus on the central bank’s communication rather than incoming data.
In a rapidly changing AI economy, promises based on an outdated assessment can slow the policy response when conditions shift. Warsh’s alternative is not silence or unpredictability. He called for more reliable models and robust rules while acknowledging that forecasting accuracy remains an aspiration, not a guarantee. Communication would place more emphasis on the information that would change a decision and less on a fixed sequence of future moves.
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What other Fed evidence shows about the transition
Fed officials are examining AI’s effects on inflation, employment, financial stability, supervision and the central bank’s own operations. Governor Lisa Cook’s September 28, 2026 speech framed the scale of the adjustment: companies had announced about $2 trillion in AI investment plans, while electricity and water costs were rising around 5% year over year, potentially partly because of AI-related demand. Those figures do not establish that AI is the cause of overall inflation, but they illustrate why supply capacity and infrastructure bottlenecks are now part of the policy discussion.
The Fed’s inflation target remains 2%. The central bank must therefore determine whether AI-related price increases are temporary changes in specific goods and services or evidence that inflation expectations and wage-setting are becoming broadly embedded.
What this means for households and markets
- Interest rates may become more data-dependent. Officials could place less weight on preset guidance and more on realized productivity, hiring, prices and financial conditions.
- AI investment can be inflationary before it is disinflationary. Construction, energy and equipment demand may arrive years before efficiency gains show up in economy-wide statistics.
- The neutral rate is not fixed. If productivity and potential output rise materially, estimates of the long-run rate consistent with stable inflation may need revision.
- Financial risks matter alongside growth. High valuations, leverage and concentration in AI-related models or suppliers could turn a technology correction into a broader tightening of credit.
What to watch next
- Productivity data: Look for sustained gains across sectors, not only output growth in a few technology firms.
- Capacity constraints: Track electricity, water, semiconductor and construction costs that could keep supply from meeting AI-driven demand.
- Labor-market adjustment: Monitor whether AI changes employment, wages and job transitions faster than workers and firms can adapt.
- Inflation breadth: Separate one-time price-level increases from continuing gains across services, goods and wages.
- Financial conditions: Watch valuations, credit spreads and concentration among firms that finance or supply AI infrastructure.
Warsh’s message is that AI changes the Fed’s problem before it provides a definitive answer to it. The central bank is preparing for an economy in which the benchmarks used to judge inflation, capacity and interest rates may move while policymakers are still measuring them.
Frequently Asked Questions
Did Warsh say AI will automatically lower interest rates?
No. His remarks were conditional. AI could raise productivity and the natural rate over time, but near-term investment demand, supply bottlenecks or financial stress could require a different policy response.
Is every AI-related price increase inflation?
No. Warsh distinguished a one-time change in the price level from persistent inflation. The key question is whether supply expands and whether price increases spread into expectations, wages and other categories.
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What is the natural rate of interest?
It is an estimated inflation-adjusted interest rate consistent with an economy operating at stable employment and price growth. AI-driven changes in productivity or potential output could move that estimate.
Why could AI create a stagflation risk?
Adoption frictions can raise production costs while financial markets price in strong future growth. That combination can produce higher inflation alongside weaker real activity, a problem interest rates cannot solve by themselves.
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