IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/24084.html
   My bibliography  Save this paper

Macroeconomic Impact of Artificial Intelligence on Productivity: An estimate from a survey

Author

Listed:
  • MORIKAWA Masayuki

Abstract

Based on a survey of Japanese workers, this study documents the characteristics of workers who use artificial intelligence (AI) in their jobs and estimates the effects of this new general-purpose technology on macroeconomic productivity. The results indicate, first, 8.3% of workers used AI in their jobs in 2024, which is approximately 1.5 times than in 2023. Second, more educated and high-wage workers tend to use AI, suggesting that its diffusion may increase labor market inequality. Third, the use of AI is estimated to have increased labor productivity in the macroeconomy by 0.5–0.6%. Fourth, nearly 30% of workers expect to use AI for their jobs in the future, suggesting that its macroeconomic effects will increase. However, the productivity effect of AI for those who recently started using it is relatively small, suggesting a diminishing productivity impact of AI.

Suggested Citation

  • MORIKAWA Masayuki, 2024. "Macroeconomic Impact of Artificial Intelligence on Productivity: An estimate from a survey," Discussion papers 24084, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:24084
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/24e084.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:eti:dpaper:24084. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.