THE IMPACT OF GENERATIVE AI ON HUMAN RESOURCE STRATEGY: WORKFORCE REDUCTION AND TALENT RETENTION
Abstract
The article examines how the diffusion of generative AI is transforming human resource strategy in contemporary organizations, focusing on workforce reduction, job architecture reconfiguration, and talent retention. The study is based on the analysis of academic publications and analytical reports on the impact of AI on the labor market and HR management, using comparative analysis, synthesis, and systematization of managerial indicators. The findings distinguish AI-driven structural layoffs from cyclical ones, highlighting their effects on job functions and organizational roles. Structural layoffs are linked to the automation of operational and coordination tasks and a decline in entry-level positions. Changes in skills demand are identified, including the growing importance of AI competencies. An algorithm for role redesign is proposed, along with key metrics for evaluating retention strategy effectiveness.
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Copyright (c) 2026 Юлія Єфімчук, Олег Сипягін , Наталія Гавадзин
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