IDEAS home Printed from https://ideas.repec.org/p/bis/bisblt/135.html

Old workers, young machines: can AI and automation offset population ageing?

Author

Listed:
  • Iñaki Aldasoro
  • Sebastian Doerr
  • Daniel Rees

Abstract

Artificial intelligence (AI) and robots have the potential to offset the macroeconomic consequences of an ageing workforce, but the ability to automate jobs depends on which industries are ageing. AI and robots substitute most readily for jobs in industries with younger workforces (eg finance), while older, high-employment industries (eg agriculture, health) have less scope for automation. A new ageing–automation scorecard for over 130 economies shows that some of the fastest-ageing economies may face more substantial challenges in easing demographic pressures through automation.

Suggested Citation

  • Iñaki Aldasoro & Sebastian Doerr & Daniel Rees, 2026. "Old workers, young machines: can AI and automation offset population ageing?," BIS Bulletins 135, Bank for International Settlements.
    • Handle: RePEc:bis:bisblt:135
    as

    Download full text from publisher

    File URL: https://www.bis.org/publications/bulletin-135-old-workers-young-machines-can-ai-and-automation-offset-population-ageing
    File Function: Full PDF document
    Download Restriction: no
    File URL: https://www.bis.org/publications/bulletin-135-old-workers-young-machines-can-ai-and-automation-offset-population-ageing
    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:bis:bisblt:135. 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.