Mapping and comparative analysis of artificial intelligence applications in the circular economy

Abstract

The transition toward a Circular Economy (CE) requires intensive digital innovation, with Artificial Intelligence (AI) identified as a crucial accelerator for achieving sustainability in areas such as resource management and production. This study examines the global landscape of AI and Machine Learning (ML) applications in CE systems, addressing the complexity of material flows and the demand for real-time data. The specific objective is to map the latest trends, methodologies, and best practices in the integration of AI to enhance material circularity, resource efficiency, and production sustainability.