7 ways AI is driving the future of the circular economy
AI is revolutionizing the circular economy by optimizing waste management, improving product design, and enhancing supply chain transparency. AI-powered sorting systems, like those from ZenRobotics and TOMRA, increase recycling efficiency by accurately identifying materials. Machine learning enables the development of recyclable and biodegradable materials, while predictive maintenance extends product lifespans by anticipating failures before they occur. AI-driven design tools help create modular, repairable products, supporting sustainable industries such as electronics and construction. Additionally, AI facilitates Product-as-a-Service (PaaS) models, keeping goods in circulation longer through rentals and leasing. Enhanced supply chain transparency allows businesses to track material origins and environmental impact. AI also personalizes consumer engagement, offering repair suggestions and circular consumption incentives. As AI advances, collaboration among businesses, policymakers, and consumers will be crucial in maximizing its potential to drive a more sustainable, low-waste future. Learn more about this here.
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