The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence

A. O. Averyanov (), V. A. Gurtov () and S. V. Shabaeva ()

Russian Journal of Industrial Economics, 2024, vol. 17, issue 3

Abstract: The resource support of any developed strategy according to the chosen priorities is one of the most important stages of its formation and implementation. The solution of this task affects the dynamics of development of the economy’s high technology industries as the objects of strategizing in the emerging digital economy. One of the priority technological vectors of development of Russia is the sphere of artificial intelligence (AI), and so there arises the problem of the resource support of this direction. The purpose of the article is to study staffing as one of the key factors of strategic development of the Russian AI sphere in the industry context. The analysis is based on the methodology of strategizing by Professor V.L. Kvint and the concept of strategic human resources management by Doctor I.V. Novikova. The calculations are based on the Russian universities’ data on the number of graduates by educational programs in the AI sphere in 2023 and their employment. During the research the authors found out the number of graduates in the AI sphere by the industry specialization of educational programs; defined the sectoral specifics of employment of the graduates specializing in the AI sphere; identified the key employment organizations and jobs. The authors made conclusions about resource support of the AI development strategy in the industry context. The results will be useful for correcting the developed strategies in the AI sphere and for predicting staffing provision with the consideration of the time lag in the staff training.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ach:journl:y:2024:id:1316

DOI: 10.17073/2072-1633-2024-3-1316

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