IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_1066_26.html

Artificial intelligence, the natural rate of interest, and monetary policy

Author

Listed:
  • Lucia Esposito

    (Bank of Italy)

  • Andrea Fabiani

    (Bank of Italy)

  • Elia Moracci

    (Bank of Italy)

  • Andrea Papetti

    (Bank of Italy)

  • Massimiliano Pisani

    (Bank of Italy)

Abstract

This paper evaluates the macroeconomic effects of artificial intelligence-driven productivity gains under alternative monetary policy rules by using a New Keynesian model calibrated to the euro area. AI-driven productivity gains raise output but have ambiguous effects on inflation. A sudden productivity increase is generally disinflationary, as supply expands faster than demand, whereas gradual productivity gains or stronger investment demand tend to be inflationary because aggregate demand responds more intensely. Across various scenarios, monetary policy achieves better inflation and output stabilization when it tracks the evolution of the natural rate of interest, r*, or responds more strongly to inflation, rather than reacting to the long-run value of r*. The results suggest that, because the evolution of r* is difficult to assess during periods of AI-driven structural change, inflation may provide more reliable guidance for policy decisions.

Suggested Citation

  • Lucia Esposito & Andrea Fabiani & Elia Moracci & Andrea Papetti & Massimiliano Pisani, 2026. "Artificial intelligence, the natural rate of interest, and monetary policy," Questioni di Economia e Finanza (Occasional Papers) 1066, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_1066_26
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2026-1066/QEF_1066_26.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:opques:qef_1066_26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.