Subject. This article focuses on the foreign experience in technological, organizational, and social aspects of using artificial intelligence in the context of regional sustainability. Objectives. The study aims to identify opportunities for using artificial intelligence to support regions' transition to a circular economy. Methods. For the study, we used the methods of theoretical analysis of foreign scientific sources, systemic and structural analyses of regional economic systems and their sustainability factors, and comparative analysis of AI implementation practices in regions. Results. The article identifies the aspects of regional transition to a circular economy and organizational mechanisms for it. It also reveals technological capabilities of artificial intelligence, and barriers to its implementation in circular economic models. Conclusions. Implementing the principles of a circular economy using artificial intelligence tools is promising. The study results can help regional authorities, businesses, and the scientific community to enhance environmental, social, and economic sustainability at the regional level.
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