Abstract
The current phase of societal development is defined by the accelerated adoption of AI, which significantly influences labor relations. In the context of digitalization, there is a growing demand for scholarly understanding of the legal, social, and economic implications of AI implementation in employment systems. The objective of this research is to identify the main directions of labor law transformation under the pressure of intelligent technologies and to outline mechanisms for adapting the regulatory framework to new realities. The core idea of the study is tied to analyzing the replacement of human labor by automated systems and shaping effective legal governance tools. The scientific relevance lies in a comprehensive assessment of theoretical and practical dimensions of labor regulation within the digital economy. Its applied value is expressed in recommendations for updating legislation and institutional models. The methodology is based on comparative legal analysis, systematic evaluation of legal norms and judicial practice, as well as content analysis. The results indicate existing gaps in labor legislation, insufficient institutional readiness for AI integration, and the need for formal recognition of new employment formats. The study contributes to academic discourse by offering practical guidance to balance the interests of employers and employees.