IDEAS home Printed from https://ideas.repec.org/p/stc/stcp8e/202400900004e.html
   My bibliography  Save this paper

Exposure to artificial intelligence in Canadian jobs: Experimental estimates

Author

Listed:
  • Tahsin Mehdi
  • Marc Frenette

Abstract

Recent developments in artificial intelligence (AI) have raised questions about the future of work. Debates centre primarily around the possibility of AI displacing some human workers. Predicting the effects of technological transformation on the labour market is challenging. This is especially true for AI given the uncertainty surrounding the breadth of its potential; the pace of its development and implementation; and how workers, businesses and governments might react and adapt.

Suggested Citation

  • Tahsin Mehdi & Marc Frenette, 2024. "Exposure to artificial intelligence in Canadian jobs: Experimental estimates," Economic and Social Reports 202400900004e, Statistics Canada, Analytical Studies and Modelling Branch.
  • Handle: RePEc:stc:stcp8e:202400900004e
    DOI: https://doi.org/10.25318/36280001202400900004-eng
    as

    Download full text from publisher

    File URL: https://www150.statcan.gc.ca/n1/pub/36-28-0001/2024009/article/00004-eng.htm
    Download Restriction: no

    File URL: https://www150.statcan.gc.ca/n1/en/pub/36-28-0001/2024009/article/00004-eng.pdf?st=ejM5xVyg
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.25318/36280001202400900004-eng?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:stc:stcp8e:202400900004e. 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: Mark Brown (email available below). General contact details of provider: https://edirc.repec.org/data/stagvca.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.