A study of local industry restructuring and regional economic sustainability development using an AI agent system

the aim is to study local industry restructuring and regional economic sustainability development using an AI agent system Methods: the presented study uses a literature review, a theoretical analysis of the mechanisms of interaction between AI technologies and economic structures, an empirical study based on statistical data for the Moscow region, a comparative analysis of industry transformations, and the development of forecast development scenarios as methods. The study combines theoretical analysis, empirical data, and practical policy recommendations. Findings: the results show that AI implementation contributes to the growth of high-tech sectors of the economy, but at the same time creates structural imbalances in traditional industries. Recommendations are proposed for the formation of an adaptive and inclusive model of technological transformation. Conclusions: a key factor in successful transformation is the ability of regional institutions to coordinate AI implementation processes, ensure inclusive development, and minimize negative social consequences. Moscow's experience shows that with the right policies and sufficient resources, it is possible to achieve a positive balance between technological progress and social stability.

AI agent system, industrial restructuring, regional economic sustainability, digital transformation, Moscow