Abstract
The relevance of this study stems from the need to improve labor productivity in the healthcare system in the face of increasing workloads for medical personnel, limited human and financial resources, and the accelerating digital transformation of the economy.Investments in artificial intelligence (AI) technologies are considered a key tool for healthcare modernization, capable of reducing unproductive labor costs, increasing the efficiency of clinical and management processes, and ensuring the long-term sustainability of the system.The aim of the study is to economically justify the role of investments in artificial intelligence as a factor in increasing labor productivity in the healthcare system and to identify the conditions under which such investments provide a sustainable socioeconomic impact.The research methods include an analysis of scientific literature and regulatory documents, a systems and structural-functional approach, investment analysis methods (NPV, IRR, payback period), economic-statistical and economic-mathematical methods, and elements of predictive modeling.The study results demonstrate that investments in AI technologies can have a positive impact on medical personnel productivity by automating administrative functions, supporting clinical decisions, and optimizing workflows.It has been established that the economic efficiency of AI investments depends significantly on the level of institutional readiness of the healthcare system, data quality, digital competencies of staff, and JEL classification: