Tomsk, Russian Federation
Tomsk, Russian Federation
UDC 004.9
Digitalization and the spread of artificial intelligence are transforming existing economic relations and contributing to a radical reduction in transaction costs, as well as to changes in their structure. Under these conditions, the reproduction of talent is becoming one of the priority national tasks of workforce regulation aimed at mitigating labour market imbalances caused by demographic and technological changes. The use of a theoretical and analytical approach, including the analysis of recent scientific publications and open information and analytical sources, as well as methods of systematization, comparative analysis, synthesis and generalization, made it possible to identify the distinctive characteristics of a new stage in the evolution of the post-industrial economic system – the talent economy. It is shown that, compared with industrial and post-industrial types of economy, the talent economy is based on different principles and relies on different basic factors and sources of competitive advantage. It is established that the talent economy expands the boundaries of the traditional concept of human capital, which is limited to education and professional skills, and forms a more comprehensive model of human development in which the speed of knowledge exchange and learning, creativity and involvement in activity under conditions of digital structural shift become factors of competitiveness for states and organizations, as well as predictors of individuals’ personal well-being. The practical significance of the study lies in substantiating the need to develop human capital management systems at the organizational and national levels by improving the processes of identifying, developing and retaining talent, as well as ensuring its expanded reproduction as a necessary condition for workforce sustainability in the digital age, increasing business adaptability to technological changes and overcoming the consequences of demographic contraction and limited labour resources.
talent economy, human capital, digital structural shift, talent management, talent shortage, talent reproduction
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