IDEAS home Printed from https://ideas.repec.org/a/nos/voprec/y2026id6110.html

Risks of artificial intelligence adoption for employment in Russia

Author

Listed:
  • R. I. Kapeliushnikov

Abstract

This study provides assessment in the Russian literature of the potential impact of artificial intelligence (AI) technology on the Russian labor market. Methodologically, the analysis relies on a system of scores measuring the risk of AI adoption for detailed occupations at the four-digit level, developed by the International Labour Organization. The empirical basis is microdata from the Rosstat Labor Force Surveys. According to our estimates, the average AI risk index for Russia is 0.3. One in ten jobs in the Russian economy is exposed to high AI risk, and approximately one in three to significant risk. This is lower than in developed countries but higher than in developing ones. Most occupations are almost completely immune to AI risk, while the share of jobs facing the prospect of full automation is negligible, at less than 1%. The potential impact of AI is concentrated in an extremely narrow range of occupations. Clerical workers are likely to be its primary target. The analysis indicates that in Russia the adoption of AI will involve not so much the elimination of entire occupations as the reconfiguration of tasks within existing ones, which will not disappear. Consequently, fears of extremely high technological unemployment due to AI adoption appear to be unfounded alarmism.

Suggested Citation

  • R. I. Kapeliushnikov, 2026. "Risks of artificial intelligence adoption for employment in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 8.
  • Handle: RePEc:nos:voprec:y:2026:id:6110
    DOI: 10.32609/0042-8736-2026-8-5-28
    as

    Download full text from publisher

    File URL: https://www.vopreco.ru/jour/article/viewFile/6110/2864
    Download Restriction: no

    File URL: https://libkey.io/10.32609/0042-8736-2026-8-5-28?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

    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:nos:voprec:y:2026:id:6110. 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: NEICON (email available below). General contact details of provider: https://www.vopreco.ru .

    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.