The aim of this project is to investigate the influence of AI on CBMs, specifically focusing on the aggregated dimensions of value proposition, value creation and delivery, and value capture. This study employs a qualitative research design inspired by a deductive approach. A systematic literature review was conducted from scientific articles. Interviews with manufacturing companies and AI experts are also utilized to enrich understanding and validate the theoretical model. A thematic analysis was conducted to extract and examine patterns and themes and from that a framework has been developed about how AI influences the circular business values of value proposition, value creation and delivery, and value creation. The key enablers and challenges are outlined, categorized into three main groups: Technological, Organizational, and Environmental factors. The conclusion is that AI enables CBMs in manufacturing by optimizing materials, enhancing predictive maintenance, improving recycling processes, and enabling dynamic pricing models. Key enablers include robust AI infrastructure, organizational support, and regulatory frameworks. Challenges encompass inadequate infrastructure, data issues, and skill shortages. Competitive pressures and regulations drive adoption but also pose hurdles.