(Integrating Artificial Intelligence in Circular Economy for resource efficiency (case study Google

Abstract

Abstract This dissertation investigates how Artificial Intelligence (AI) can be integrated into the Circular Economy (CE) to improve resource efficiency, with Google as a case study. As companies increasingly prioritize sustainability, this research examines how AI can enhance waste management, optimize product design, and support better decision-making in CE practices. The study highlights several benefits, including improved operational efficiency and reduced environmental impact, while addressing challenges like data management and the potential ecological effects of AI technologies. Using the Resource-Based View (RBV) theory, the research demonstrates how companies can gain competitive advantages through effective AI integration in CE. Ultimately, this dissertation aims to provide practical strategies for overcoming obstacles to AI implementation in CE, bridging the gap between theory and real world applications.