DIGITAL TRANSFORMATION OF THE RUSSIAN FEDERATION’S SOCIOECONOMIC INFRASTRUCTURE: FROM RISK ANALYSIS TO PROACTIVE MANAGEMENT BASED ON ECONOMIC CYBERNETICS

In a global technology shift digital transformation is becoming the dominant development of national economies, including the Russian Federation. The article explores the multifaceted impact of a tech-driven digital economy artificial intelligence (AI) and big data analysis (Big Data), on socio-economic infrastructure of the country. Relevance of the work due to the need to comprehend not only positive effects digitalization (labor productivity growth, management optimization), but and the set of systemic risks it generates. Based on analysis strategic documents, statistics of import substitution of software providing and expert assessments by the author revealed key contradictions modern stage. On the one hand, progress in the development of digital infrastructure and the achievement of technological sovereignty in several segments are noted. On the other hand, it is argued that forced digitalization without adequate regulatory mechanisms can exacerbate social stratification, lead to technological unemployment, and worsen digital inequality. Special attention is given to analyzing the transformation of the labor market and the ethical challenges of AI implementation. The paper concludes that passive monitoring and predictive models are insufficient for managing such complex processes. As a solution, the paper proposes a concept of transition to proactive management based on the principles of economic cybernetics. The author argues for the need to create proactive artificial intelligence based on a dynamic model of the intersectoral balance (ISB) integrated into the National Data Management System (NDMS). This approach, which builds on Russia’s unique planning experience, not only minimizes the risks of digitalization but also ensures a balanced and socially oriented economic development in the long term.