IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v79y2026icp400-411.html

The Macroeconomic effects of generative AI

Author

Listed:
  • Katz, Raúl
  • Jung, Juan

Abstract

Our purpose is to estimate the macroeconomic impact of generative Artificial Intelligence (gen-AI). A theoretical model, based on a two-level CES production function, is developed to consider different elasticities of substitution between capital and labor, but differentiating between worker groups. Gen-AI is modeled as a potential enhancer of productivity for the different labor groups. We estimate the model for 67 countries over period 2022–2025. Results suggest that gen-AI contributed to increasing the productivity of most workers, regardless of their education, contract type, full or partial work time, and vulnerability level. This can be explained as, contrary to prior advances in this technology, gen-AI presents a wider range of uses, being easily accessible for most individuals. On the other hand, we were not able to find evidence of significant changes in the substitution dynamics across different groups of workers, while the overall macroeconomic impact has been modest so far.

Suggested Citation

  • Katz, Raúl & Jung, Juan, 2026. "The Macroeconomic effects of generative AI," Structural Change and Economic Dynamics, Elsevier, vol. 79(C), pages 400-411.
  • Handle: RePEc:eee:streco:v:79:y:2026:i:c:p:400-411
    DOI: 10.1016/j.strueco.2026.05.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X26000937
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2026.05.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:eee:streco:v:79:y:2026:i:c:p:400-411. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/525148 .

    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.