The impact of ai on circular economy and sustainability

Abstract

The fast evolution of artificial intelligence (AI) is transforming the sustainability agenda and accelerating the transition to a circular economy (CE). The CE paradigm challenges the linear "take, make, dispose" paradigm. Instead, it emphasizes the reuse of resources, minimizing waste, and encouraging regeneration. AI increases productivity, decision-making, and resource use in sectors such as manufacturing, agriculture, energy, and waste management. Globally, AI applications such as computer vision, machine learning, and predictive analytics enhance material productivity, energy efficiency, and waste segregation. AI-based energy management systems optimize consumption and use of renewable materials. Predictive maintenance minimizes waste and downtime. With a rising population and industrialization, AI provides enormous potential for sustainable development in India. Its application in irrigation and smart city initiatives is evident in government initiatives such as "AI for All" by NITI Aayog. Nevertheless, several issues persist, including a lack of qualified professionals, high costs of implementation, and inadequate data infrastructure. Effective governance, transparency, and intersectoral collaboration are critical to achieve environmentally sustainable and just outcomes. To tap the full potential of AI in facilitating CE principles, capacity-building investments are required. The integration of AI and circular economy models represents a significant leap forward in achieving sustainable and resilient economic growth for the global economy and developing economies such as India.