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Artificial intelligence and the demand for skills in Russia

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  • A. A. Ternikov

Abstract

The problem of digital transformation of the labor market is widely discussed in the current scientific literature. In the context of the rapid spread of modern information technologies, in particular artificial intelligence (AI), many companies inevitably face difficulties in hiring highly qualified personnel. At the same time, research still lacks a clear understanding of the pace of AI adoption in different occupations, as well as what knowledge, skills, and abilities are actually in demand by employers. This study analyzes the demand for worker skills and the salaries offered by employers within firms, industries, and occupations. By focusing on AI skills, this paper adapts and extends the application of mainstream empirical methodology to the understudied context of the Russian labor market. The study uses data from firms and online job advertisements for the period from 2007 to 2020, and conducts econometric analysis to estimate the demand for skills. The results of the study show a rapid growth in the demand for AI skills in Russia, which is associated with significant wage premiums for these skills. However, when combined with other skills, the effect of AI skills can be negated. For example, the results suggest that basic and advanced computer skills are negatively complementary in terms of demand, which may lead to lower wages. Moreover, in the context of the Russian labor market, the demand for nontechnical skills in AI-related jobs is not associated with offering higher wages

Suggested Citation

  • A. A. Ternikov, 2023. "Artificial intelligence and the demand for skills in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.
    • Handle: RePEc:nos:voprec:y:2023:id:4443
    DOI: 10.32609/0042-8736-2023-11-65-80
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    1. Taniguchi, Hiroya & Yamada, Ken, 2022. "ICT capital–skill complementarity and wage inequality: Evidence from OECD countries," Labour Economics, Elsevier, vol. 76(C).
    2. Sergey Dmitrievich Kapelyuk & Iliya Nikolaevich Karelin, 2023. "Demand on Digital Skills in Russia: Regional Differences," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 70-92.
    3. 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.
    4. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    5. Arendt, Lukasz & Gałecka-Burdziak, Ewa & Núñez, Fernando & Pater, Robert & Usabiaga, Carlos, 2023. "Skills requirements across task-content groups in Poland: What online job offers tell us," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Eggenberger, Christian & Backes-Gellner, Uschi, 2023. "IT skills, occupation specificity and job separations," Economics of Education Review, Elsevier, vol. 92(C).
    7. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    8. Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023. "Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings," Research Policy, Elsevier, vol. 52(1).
    9. Andrei Ternikov, 2022. "Wage premium for soft skills in IT sector," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 21(2), pages 237-248, April.
    10. Tania Babina & Anastassia Fedyk & Alex X. He & James Hodson, 2023. "Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition," NBER Working Papers 31325, National Bureau of Economic Research, Inc.
    11. Shakina, Elena & Parshakov, Petr & Alsufiev, Artem, 2021. "Rethinking the corporate digital divide: The complementarity of technologies and the demand for digital skills," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    12. Tania Babina & Anastassia Fedyk & Alex He & James Hodson, 2023. "Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition," NBER Chapters, in: Technology, Productivity, and Economic Growth, pages 75-117, National Bureau of Economic Research, Inc.
    13. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
    14. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    15. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    16. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
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    2. Liu, Qilu & Du, Shanshan & Li, Min, 2025. "Green innovation perspective: Artificial intelligence and corporate green development," International Review of Economics & Finance, Elsevier, vol. 102(C).

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