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Samara State Medical University (docent)
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This paper aims to identify key labor market issues in the agricultural sector, which is developing in light of the influence of digitalization trends and the integration of artificial intelligence-based technologies. The aim of the study was to analyze key labor market issues in the agricultural sector in the era of digital transformation and develop proposals for their solutions. The paper presents the functions of agriculture, highlights the importance of staffing the agricultural sector as a source of safe food raw materials, and notes the role and impact of digitalization trends on staffing in the agro-industrial complex. The paper identifies key labor force categories in the agro-industrial complex; presents aggregated data on the dynamics of the graduation of skilled workers, mid-level specialists, as well as bachelors, specialists, and masters in agriculture for the period from 2016 to 2024 (according to the statistical digest of the National Research University Higher School of Economics); identifies factors influencing the trends in the graduation of specialists from educational institutions; provides indicators of the share of enterprises experiencing a personnel shortage in 2023, as well as indicators of demand for professions in agriculture in Russia at the end of 2022 (%); identifies labor market problems in the agricultural sector, and formulates proposals for their solution. The research methods include a bibliographic study of publications on the content and structure of problems in the labor market in the agricultural sector of the Russian Federation, followed by a synthesis of the identified information, which allows us to identify the main problems of the labor market in the agricultural sector and formulate proposals for their solution. As part of the bibliographic research method, the author collected relevant scientific literature covering issues of improving and developing the labor market in the agro-industrial complex. The main criteria for selecting scientific literature were: thematic relevance of the scientific article to the chosen research topic; the academic degree of the study's authors; and the level of the scientific journal in which the article was published (journals from the current list of the Higher Attestation Commission and the White List were primarily considered as sources of scientific literature). The literature used covers the chronological period from the beginning of the second decade of the 20th century to publications as of 2025. In addition, the work utilizes some data published online. Relevant references to these sources are provided in the bibliography.
labor market; labor resources; agricultural sector; agro-industrial complex (AIC)
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