NEW DETERMINANTS OF LABOR FORCE COMPETITIVENESS IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE

Author(s): Virina I.V.

Rubric: Management

DOI: 10.21777/2587-554X-2026-2-83-92

Release: 2026-2 (57)

Pages: 83-92

Keywords: labor force competitiveness, generative artificial intelligence, non-replicable professional competencies, labor market, digitalization of employment, integral competitiveness model

Annotation: The article examines labor force competitiveness in conditions where artificial intelligence has ceased to be merely a tool for automating routine work operations. The study involved a systematic analysis of Russian and interna- tional scholarly research devoted to the theoretical and methodological foundations of labor force competitiveness, macroeconomic regulation of employment issues, enhancement of specialists’ competitiveness in the labor market, the specifics of competitiveness formation among young workers, and digital competencies as a component of em- ployee competitiveness. The study finds that existing competitiveness models do not reflect the qualitative changes in the Russian labor market since 2022–2023. Traditional professional skills are no longer a competitive edge – they have become a baseline requirement, with new demands emerging on top of them. It was concluded that the author’s integral three-level model of specialist competitiveness requires supplementation with new determinants: non-replicable competencies, cognitive capital, the ability to work in conjunction with artificial intelligence, adap- tive educational potential, digital professional presence, and ethical responsibility for decisions made.

Bibliography: Virina I.V. NEW DETERMINANTS OF LABOR FORCE COMPETITIVENESS IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE // Economics and Management. – 2026. – № 2 (57). – С. 83-92. doi: 10.21777/2587-554X-2026-2-83-92