IMPROVING THE METHODOLOGY FOR ASSESSING REGIONAL HUMAN CAPITAL AND LABOR DEMAND IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE

Abstract

This study examines the need to improve methodologies for assessing regional human capital and labor demand in the context of artificial intelligence (AI). Rapid technological advancement and the integration of AI into various sectors are significantly transforming labor markets, changing the structure of employment, and increasing demand for new digital and analytical skills. In this context, traditional approaches to labor market analysis and human capital evaluation are becoming insufficient to capture dynamic changes at the regional level. The research focuses on developing a more adaptive and data-driven methodological framework that incorporates AI-based analytics, labor market forecasting models, and competency-based assessment tools.