Digital Transformation as a Tool for Reducing Migration Outflow from the Russian Far East (Based on Research Materials from Primorsky Krai)

outflow from the Russian Far East, based on the experience of Primorsky Krai. The goal is to identify the potential of digitalization for retaining human capital in the region through remote employment and adaptation to labor automation. The scientific novelty lies in empirically demonstrating the competency gap between technological challenges and the population’s low adaptability. The study analyzes respondents’ experiences in upskilling in digital literacy and artificial intelligence. The relevance is argued through systemic depopulation, demographic age imbalance, and unrealized opportunities of the digital economy. Methodology and sources. The research uses the Frey-Osborne model for predicting occupational automation. Empirical data were derived from a 2024 Q2 door-to-door survey across all municipalities of Primorsky Krai (n = 3484), conducted by the authors via the Primorsky Research Center for Sociology and Civil Initiatives. Quota sampling ensured sociodemographic and geographic representativeness. Analysis focused on labor activity, digital literacy, and migration attitudes. Results and discussion. Findings reveal an adaptation crisis to digital transformation. While most respondents are aware of AI, few received relevant training. Despite Frey-Osborne’s high-risk automation forecasts, a significant share of respondents denies that their occupations are susceptible to automation. Paradoxically, those planning career shifts target high-risk sectors (services, trade, construction), exacerbating unemployment risks. The discussion highlights the mismatch between technological readiness and implementation capacity. Conclusion. Overcoming the adaptation crisis requires infrastructure development, educational program modernization, and regional branding. Digitalization is considered as a key "anchor" capable of migration outflow from the Russian Far East due to the development of remote employment and overcoming geographical isolation.

Authors: Dmitry V. Kolodin, Olga S. Ivchenko, Vladislav S. Vityunin

Direction: Sociology

Keywords: Russian Far East, Primorsky Krai, digital transformation, artificial intelligence, labor automation, migration attitudes, human capital, remote employment, digital nomads

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