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The article examines the impact of artificial intelligence on structural unemployment and income polarization in Russia. It analyzes changes in labor demand, the transformation of professional competencies, and the impact of digitalization on the employment market. Therefore, this work explores how the technological implementation of AI affects the structure of the labor market, which groups of the population are most vulnerable, and to what extent digital transformation can exacerbate or mitigate socioeconomic differentiation. It is found that the implementation of AI simultaneously contributes to increased productivity and exacerbates differences between groups of workers based on their level of qualifications and digital skills. Special attention is paid to government support measures, retraining programs, and the development of digital competencies as tools for reducing socioeconomic inequality.
artificial intelligence, labor market, structural unemployment, income polarization, digitalization, and employment.
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