Abstract
The purpose of the research is to delve into the intersection of renewable energy sources and artificial intelligence in Kazakhstan. It aims to uncover the potential benefits, challenges, and overall impact on the country's economy and energy sector, offering a fresh perspective on this emerging field. Research methodology adopts a mixed-methods approach, incorporating both systematic review and comprehensive research methods. Data is gathered through academic databases, journals, relevant literature analysis, and case studies, which offer practical insights into the applications and outcomes of AI-driven renewable energy projects in Kazakhstan. Originality / value of the research is unique in its focus on the intersection of artificial intelligence and renewable energy within the specific context of Kazakhstan. It offers valuable insights into how emerging technologies can drive economic growth and sustainability in a developing country and provides practical strategies for harnessing these opportunities. The study significantly contributes to the literature by providing a deep and comprehensive analysis of the economic implications and strategic opportunities associated with this integration. The research findings reveal that the application of artificial intelligence to renewable energy sources in Kazakhstan can significantly enhance energy efficiency, reduce costs, and increase the reliability of energy supply. Moreover, it identifies several key economic opportunities, including job creation, technological ad- vancement and the capacity for the state to establish the regional leadership regarding the renewable energy. This study reveals the challenges and requirements for the significant funding into the infrastructure, personnel development, regulatory amendments, setting a roadmap for policymakers and industry professionals.