IDEAS home Printed from https://ideas.repec.org/a/nos/voprec/y2025id5509.html

Artificial intelligence in Russian enterprises: What are the effects on employment?

Author

Listed:
  • L. I. Smirnykh

Abstract

This article evaluates the impact of artificial intelligence (AI) technologies on changes in the number of employed workers in Russian enterprises. For the analysis, data from the enterprise survey for the years 2022—2023 were used. The data is representative of Russia. The estimates were obtained using econometric methods. The endogeneity of the regressor (AI) was taken into account in the estimation equations. The results showed that Russia belongs to the group of leading countries in the application of AI technologies by enterprises. At the same time, enterprises that implement AI technologies observed a reduction in the number of employed workers this year compared to the previous year. However, the effects of AI technologies on employment are heterogeneous and vary by the size of the enterprises. The reduction in the number of employed workers was present in large and small enterprises. At the same time, there was an increase in the number of employed workers at medium-sized enterprises. To overcome the problem of workforce reduction and staff shortages, enterprises are recommended to implement continuous training of employees in digital technologies.

Suggested Citation

  • L. I. Smirnykh, 2025. "Artificial intelligence in Russian enterprises: What are the effects on employment?," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 9.
  • Handle: RePEc:nos:voprec:y:2025:id:5509
    DOI: 10.32609/0042-8736-2025-9-88-102
    as

    Download full text from publisher

    File URL: https://www.vopreco.ru/jour/article/viewFile/5509/2782
    Download Restriction: no

    File URL: https://libkey.io/10.32609/0042-8736-2025-9-88-102?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:2025:id:5509. 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.