The integration of Artificial Intelligence (AI) with circular economic principles has emerged as a revolutionary pathway toward enhancing resource efficiency and promoting sustainable practices. This chapter explores AI-driven innovations that facilitate the transition from traditional linear models to a circular economy. Through advanced predictive analytics, smart manufacturing, and optimized supply chains, AI enables real-time decision-making that minimizes waste, enhances resource recovery, and fosters sustainable production systems. Utilizing machine learning, big data, and AI-enabled automation, industries are transforming product lifecycle management, material recycling, and energy consumption optimization. The chapter presents key case studies and empirical data demonstrating the efficacy of AI in achieving circularity across industries, from manufacturing to energy sectors.