AI and monetary policy
Dinner speech by Philip R. Lane, Member of the Executive Board of the European Central Bank, at the closing conference of the European System of Central Banks Research Network on Challenges for Monetary Policy Transmission in a Changing World (ChaMP), Rome, 6 July 2026.
It discusses the inflationary effect of AI in theoretical terms and argues that the upfront effect will be weak; however, it contains no forward-looking statement on the ECB's current rate stance.
This speech carries no signal about the monetary policy stance. Its score of zero means "no signal", not "balanced stance", so it is not included in the bank's average score.
Summary
In this speech at the closing dinner of the ChaMP research network, Lane discusses in theoretical terms how AI affects the monetary policy stance. He says a natural starting point is to treat AI as a shock that permanently raises productivity, and that if households and firms quickly internalise this permanence, inflationary pressure could arise through the demand channel at the start of the transition. However, he argues that this is unrealistic: because of habit formation and individual income uncertainty, spending will adjust slowly, in which case the upfront inflationary effect will be largely muted. (BIS publishes only the introductory section of this speech.)
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ECB (European Central Bank) · Euro area
Introductory section of the speech
Source: European Central Bank (ECB). © European Central Bank; reproduced with the source acknowledged. The text was extracted automatically from the publisher's PDF or web page; only line breaks were adjusted. Footnotes and tables may have turned into plain text — see the source for the official text.
Let me begin by congratulating everyone involved in the ChaMP research network on a remarkably successful research programme: it has delivered many new insights regarding the transmission of monetary policy and has been directly influential in our policy discussions in recent years.
In these dinner remarks, I would like to focus on one topic in particular: the implications of artificial intelligence (AI) for the monetary policy stance.
A natural benchmark analysis is to view AI as permanently increasing productivity, boosting incomes. If households and firms quickly internalise the permanent nature of the productivity shock and incorporate future increases in incomes into their spending decisions, the advent and adoption of AI could put upward pressure on inflation via this demand mechanism already early on during the transition phase.
Yet, assuming that households and firms know precisely the nature, size and persistence of future productivity shocks is hardly realistic. A more sluggish consumption response can also be rationalised if the level of lagged consumption is an important determinant of the benefits of current consumption, as in "habit formation" models. Consumers also face great individual-specific uncertainty about the income implications of the AI transition, providing a further reason to be slow to adjust consumption. It is more plausible to posit that households and firms will learn about the income and employment impact of productivity shocks over time in a concurrent manner and will only slowly adapt spending to it. In this event, the upfront inflationary effect would be strongly diminished.
More generally, within the span of macroeconomic outcomes originating from different degrees of incorporating productivity and income gains into spending decisions, the inflationary effects of the AI transition will depend on a range of factors.