IDEAS home Printed from https://ideas.repec.org/p/stc/stcp8e/202600100001e.html

Potential occupational exposure to artificial intelligence and automation among certified journeypersons in Canada

Author

Listed:
  • Allison Leanage
  • Tahsin Mehdi

Abstract

Artificial intelligence (AI) and automation hold the potential to transform the nature of work, raising concerns about how different occupations may be affected (Frenette and Frank, 2020; Mehdi and Morissette, 2024; Mehdi and Frenette, 2024). Although often used interchangeably, AI and automation represent different concepts: AI encompasses technologies capable of performing complex, non-routine and cognitive tasks, whereas automation refers to systems or machines designed to perform simple, routine and non-cognitive tasks. Recent estimates suggested that approximately 60% of employees in Canada may be highly exposed to AI-related job transformations, with AI complementing rather than replacing the work of about half of these individuals (Mehdi and Morissette, 2024). By contrast, about 1 in 10 workers may face a high likelihood (70% probability or greater) of automation-related job transformation (Frenette and Frank, 2020). However, these rates may vary substantially across occupations.

Suggested Citation

  • Allison Leanage & Tahsin Mehdi, 2026. "Potential occupational exposure to artificial intelligence and automation among certified journeypersons in Canada," Economic and Social Reports 202600100001e, Statistics Canada, Analytical Studies and Modelling Branch.
  • Handle: RePEc:stc:stcp8e:202600100001e
    DOI: https://doi.org/10.25318/36280001202600100001-eng
    as

    Download full text from publisher

    File URL: https://www150.statcan.gc.ca/n1/pub/36-28-0001/2026001/article/00001-eng.htm
    Download Restriction: no

    File URL: https://www150.statcan.gc.ca/n1/pub/36-28-0001/2026001/article/00001-eng.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.25318/36280001202600100001-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:202600100001e. 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.