<p>The fast-paced economic development in India has resulted in higher energy use and the generation of solid wastes, posing immense environmental and health problems. With a view to solving these, this review investigates the incorporation of artificial intelligence (AI) in solid waste management (SWM) in India, its ability to bring about improved operational efficiency, lowered costs, and reduced environmental consequences. The article considers recent AI technology applications in segregating waste, optimizing routes, recovering resources, and recycling through machine learning, computer vision, and predictive analysis. It describes case studies on Indian cities successfully using AI-based technologies to enhance waste management efforts. Also, the review critically discusses the applicability of life cycle assessment (LCA) in measuring the sustainability and financial viability of AI-based systems with a balanced cost–benefit analysis. The conclusion emphasizes the disruptive potential of AI in restructuring India’s waste management strategies, with a sustainable and efficient system in place to handle mounting waste loads. The present review paper deals with the usefulness of artificial intelligence for more efficient solid waste management in India.</p>