IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_878_24.html
   My bibliography  Save this paper

An assessment of occupational exposure to artificial intelligence in Italy

Author

Listed:
  • Antonio Dalla Zuanna

    (Bank of Italy)

  • Davide Dottori

    (Bank of Italy)

  • Elena Gentili

    (Bank of Italy)

  • Salvatore Lattanzio

    (Bank of Italy)

Abstract

Artificial intelligence (AI) is a general-purpose technology with broad applicability across domains and economic sectors, which is expected to have a significant impact on the labour market in the coming years. We review some of the most recent measurements of labour market exposure to AI in advanced economies and then assess the implications for the Italian labour market. We find that occupations that are more exposed to AI, i.e. more at risk of being complemented or substituted by it, are in the top two quintiles of the income distribution, mostly in the service sector, and employ a large share of women and of highly-skilled workers. Substitutable workers are more protected from the risk of job displacement as they are less likely to be self-employed or on fixed-term contracts. Current patterns of job-to-job mobility show high degrees of persistence within occupation types. We provide indicative evidence that moving out of the most exposed and substitutable occupations might be difficult and costly in terms of wage, especially when movements are towards less exposed occupations.

Suggested Citation

  • Antonio Dalla Zuanna & Davide Dottori & Elena Gentili & Salvatore Lattanzio, 2024. "An assessment of occupational exposure to artificial intelligence in Italy," Questioni di Economia e Finanza (Occasional Papers) 878, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_878_24
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2024-0878/QEF_878_24.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    artificial intelligence; occupational exposure; labour mobility;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • 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:bdi:opques:qef_878_24. 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.