Artificial Intelligence is revolutionizing productivity by enabling smarter operations, reducing waste, and fostering sustainable business practices. In the circular economy, AI plays a pivotal role in optimizing resource use and minimizing environmental impact. For instance, Michelin’s tire-as-a-service program utilizes AI to analyze tire usage data, offering predictive maintenance and optimizing tire performance, thereby extending product life and reducing waste (ScienceDirect). Similarly, Greyparrot’s AI-powered waste recognition software enhances recycling efficiency by automating waste sorting in facilities, ensuring higher accuracy and throughput (relondon.gov.uk). These examples demonstrate how AI not only drives productivity but also supports responsible leadership by aligning business objectives with environmental sustainability.
This panel will delve into how organizations can leverage AI to achieve operational excellence while contributing to a circular economy, highlighting the importance of integrating technology with ethical and sustainable practices .
Growth, Circularity, and Business Model Innovations reflect a shift from profit-driven expansion to purpose-driven resilience. Circularity reimagines waste as a resource, keeping materials and value in continuous use. It challenges the linear “take-make-dispose” model and promotes regeneration. Innovative firms now design for reuse, repair, and shared access instead of ownership. Such models prove that sustainability can be profitable and scalable. The question is no longer why circularity, but how fast we can transition to it.