AI-Powered Circular Economy for Waste Management: A Blueprint for Global Sustainability

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Authors: Sahaj Vaidya, Himanshu Joshi
Cited by: 0
References: 4

Abstract

This chapter explores the transformative potential of artificial intelligence (AI) in fostering a circular economy for global waste management. By leveraging AI technologies such as machine learning, robotics, and predictive analytics, waste management systems can be optimized to reduce environmental impact and promote resource efficiency. Definitions of technical terms have been refined to enhance clarity and accessibility for a broader audience. Practical implementations, scalable frameworks, and global case studies are presented to demonstrate AI's role in achieving sustainable development goals (SDGs). The chapter concludes with an assessment of challenges and future directions for deploying AI in circular economies.

Fields of Study & Subjects

Municipal Solid Waste Management Waste Management and Recycling Impact of AI and Big Data on Business and Society

Publication details

Journal / source
BENTHAM SCIENCE PUBLISHERS eBooks
Pages
139–150
Publication date
26 January 2026
Document type
Book chapter