In the context of the Fourth Industrial Revolution, there is a continuous transformation of processes in the labor market. Digitalization of society affects the structure of the employment sector, when some professions become obsolete due to automation of work processes. At the same time, there is a demand for new competencies aimed at working in an online environment. The purpose of this article is to analyze current global economic and technological trends affecting the transformation of the labor market and the formation of new socio-economic relations in the context of the formation of the digital economy. The author draws attention to changes in the nature of work and forms of work activity, requirements for professional skills and abilities. It shows how changes related to the digitalization of the economy directly affect the issues of training and retraining of the most popular specialists. The article systematizes the main global trends in the labor market caused by the digitalization of the economy and the widespread introduction of Information Computer Technologies. In the course of the research, the author revealed that digitalization of the economy has the opposite impact on labor markets, leading to multidirectional processes in the medium term, which is expressed in the reduction of low-skilled jobs, an increase in the level of robotization of production, differentiation of forms of Organization of production, revision of types of economic relations. As a result of digital transformation in industry, it became possible to produce products with higher quality, and the human factor became less significant in many production and technology sectors. The negative consequences of digitalization include the disappearance of a large number of professions, the release of workers, and an increase in unemployment. The author concludes that digital inequality in regional labor markets, with its further development, may negatively affect ensuring the country's economic sovereignty. At the same time, the results of the study suggest that no automation can completely replace a person, so forecasting total unemployment due to the robotization of production is temporary.
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