Artificial intelligence (AI) advances sustainability across smart cities, businesses, and industrial systems. By leveraging data analytics, automation, and predictive modeling, AI enables more efficient use of resources, reduces environmental impact, and supports informed decision-making in areas like energy management, transportation, and supply chains. In smart cities, AI-driven technologies optimize infrastructure and public services, while in business and industry they enhance operational efficiency and promote sustainable practices. As global challenges like climate change and resource scarcity increase, integrating AI into sustainability strategies has become essential for building resilient, efficient, and environmentally responsible systems. AI-Driven Sustainability Across Smart Cities, Business, and Industry explores how AI technologies promote sustainability in smart cities, businesses, and industrial operations. It examines the impact of AI on resource efficiency, environmental management, and decision-making processes aimed at reducing environmental footprints and supporting long-term sustainable development. This book covers topics such as risk mitigation, sustainable development, and augmented reality, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.