Article’s

Artificial Intelligence (AI) has emerged as a powerful tool in transforming traditional waste management systems into intelligent, efficient, and sustainable solutions. This study explores the role of AI in achieving a zero-waste economy by integrating smart technologies such as machine learning, predictive analytics, Internet of Things (IoT), and automated waste sorting systems. The research analyses the impact of AI adoption at different levels—high, medium, and low—on key performance indicators including waste reduction efficiency, operational cost, recycling rate, and environmental sustainability. Data collected from 280 smart city initiatives and waste management organizations indicates that higher AI integration signifi cantly improves waste segregation accuracy, reduces collection costs, and enhances recycling efficiency. AI-driven systems enable real-time monitoring of waste levels, optimize collection routes, and minimize environmental impact through reduced emissions. Furthermore, the study highlights the role of AI in promoting circular economy practices by enabling resource recovery and waste minimization. Despite its advantages, the implementation of AI in waste management also presents challenges such as high initial costs, data dependency, and technical limitations. This research provides a comprehensive understanding of both opportunities and challenges, offeringvaluableinsightsforpolicymakers, environmentalplanners, andorganizationsaimingtobuildsustainablewastemanagement systems. Keywords: Artificial Intelligence, Waste Management, Smart Cities, Recycling, Sustainability, Zero Waste Economy