As climate change is affecting economies and markets globally, environmental sustainability is becoming more crucial. Sustainability emphasizes the equality of future generations and is typically seen to have three components: an environmental, an economic, and a social component. Because attaining environmental sustainability also involves risks that might influence corporate operations and prospects in a strongly competitive market, thriving markets and environmental deterioration cannot coexist. Business practices are being drastically altered and improved using AI and machine learning (ML), a branch of AI that enables autonomous machines. Big data can assist AI to automatically learn and acquire knowledge to assist managers in achieving their practical and technical objectives. AI brings new methods for conducting business, finding new chances in the global market, and executing work. Using AI to Develop Sustainability Strategies for a Changing Global Economy focuses on novel ideas and research for providing a broader outlook on sustainability in business. The book Focuses on how to reduce environmentally destructive investment patterns and activities. Discusses sustainable recovery policies using AI to build back better. Presents how businesses of the future operate, augmenting industry resources with the alliance between AI and sustainable business outcomes. Presenting novel ideas for creating robust sustainability strategies, the book explores answers to the moral and ethical questions about using AI in decision-making, cyber-security, and resource management. With insight into developing efficient mechanisms to facilitate a circular economy, the book provides solutions that link the needs of the present generation without disadvantaging coming generations.