The impact of digitalization and artificial intelligence on human capital taking into account modern technological trends
¹Lipetsk Branch of the Financial University under the Government of the Russian Federation, Russia
12B, Internatsionalnaya Street, Lipetsk, 398050
²Lipetsk State Pedagogical P. P. Semenov-Tyan-Shansky University, Russia
42, Lenin Street, Lipetsk, 398020
³Financial University under the Government of the Russian Federation, Russia
49/2, Leningradsky Avenue, Moscow, 125167
⁴Russian State Social University, Russia
4, Building 1, Wilhelm Pieck Street, Moscow, 129226
⁵Institute of Geography, Ministry of Science and Education of the Republic of Azerbaijan
117, H. Javid Ave., Baku, AZ1073
⁶Mingachevir State University, Azerbaijan
21, D. Aliyeva Street, Mingachevir, AZ4500
⁷Russian Biotechnological University, Russia
11, Volokolamskoye Highway, Moscow, 125080
⁸K. G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University), Russia
73, Zemlyanoy Val Street, Moscow, 109004
⁹D. I. Mendeleev Russian University of Chemical Technology, Russia
9, Miusskaya Square, Moscow, 125047
*Corresponding author: inmakarov@fa.ru
DOI: 10.33677/GIANASCONF20260300020
Summary
This study examines the impact of digitalization and artificial intelligence (AI) on organizational human capital and proposes an approach for assessing the effectiveness of its development. Based on a critical analysis of domestic and international research, human capital is considered through knowledge, skills, experience, motivation, and health, while its effectiveness is evaluated using productivity, innovation, employee satisfaction, and organizational adaptability. The study identifies digitalization and AI as major factors transforming employee competencies, labor-market requirements, work organization, and human capital management. Particular attention is given to automation, digital skills, flexible employment, staff training, and the changing role of employees in technology-intensive environments. An integrated assessment approach is proposed that incorporates weighted indicators and allows organizations to adapt their evaluation criteria to industry characteristics, organizational size, and strategic objectives. The study also proposes formulas for assessing human capital efficiency and its development over time, including the influence of risk factors. The findings emphasize the importance of continuous investment in employee competencies and organizational adaptability under ongoing digital transformation.
Keywords: human capital, digitalization, artificial intelligence, efficiency, competencies, labor market
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DOI: 10.33677/GIANASCONF20260300020