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Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia

Author

Listed:
  • A. O. Aver’yanov

    (Budget Monitoring Center, Petrozavodsk State University)

  • I. S. Stepus’

    (Budget Monitoring Center, Petrozavodsk State University)

  • V. A. Gurtov

    (Budget Monitoring Center, Petrozavodsk State University)

Abstract

— The article presents a science-based approach to assessing the staffing needs for the artificial intelligence sector in Russia by the analogy method. The use of the method is justified by the lack of basic indicators for the economy and the labor market of the AI sector in Russian economic statistics and other sources. The selection of a benchmark country for the transfer of the AI indicator structure to the Russian labor market was based on three factors, i.e., availability of national labor market data, similarity of the employment structure in the economy, and comparable publication activity. Based on the developed methodological approaches, quantitative indicators of the average annual number of employees for the medium-term period up to 2025, as well as indicators of additional annual staffing requirements for the first time have been created for the Russian AI sector.

Suggested Citation

  • A. O. Aver’yanov & I. S. Stepus’ & V. A. Gurtov, 2023. "Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia," Studies on Russian Economic Development, Springer, vol. 34(1), pages 86-95, February.
    • Handle: RePEc:spr:sorede:v:34:y:2023:i:1:d:10.1134_s1075700723010021
    DOI: 10.1134/S1075700723010021
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    References listed on IDEAS

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