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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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    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    3. Paola Tubaro & Antonio A. Casilli, 2019. "Micro-work, artificial intelligence and the automotive industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 333-345, September.
    4. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. "AI and Jobs: Evidence from Online Vacancies," NBER Working Papers 28257, National Bureau of Economic Research, Inc.
    5. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    6. A. A. Shirov, 2017. "Role of instrumental methods of analysis and forecasting for substantiating economic policy," Studies on Russian Economic Development, Springer, vol. 28(2), pages 121-125, March.
    7. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    8. O. V. Buklemishev, 2022. "Artificial intelligence in the public sector," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    9. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    10. V. A. Gurtov & L. V. Shchegoleva, 2018. "Forecasting the Economic Need for Personnel with Higher Scientific Qualifications," Studies on Russian Economic Development, Springer, vol. 29(4), pages 415-422, July.
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