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Sustainability has become a top priority in today's corporate climate due to growing environmental concerns and social pressure for moral behavior. Artificial Intelligence (AI) integration offers a revolutionary path toward accomplishing sustainability objectives, building resilience, and guaranteeing long-term viability. This chapter delves into the many ways that artificial intelligence (AI) might improve corporate sustainability. It clarifies the ways in which AI technology can be used to build adaptable and resilient businesses. The talk opens with a summary of sustainability in the business world, highlighting the main obstacles and chances that businesses must overcome in order to pursue sustainable development. It draws attention to how urgently creative solutions for waste minimization, resource management, and moral supply chain procedures are needed. In this sense, artificial intelligence (AI) shows itself to be a potent instrument that may improve decision-making, optimize operations, and promote a sustainable culture. The chapter explores particular AI uses that support long-term commercial viability. These include AI-driven insights for sustainable supply chain management, machine learning algorithms for waste reduction and recycling, and predictive analytics for effective resource usage. Businesses may significantly increase operational efficiency and lessen their environmental impact by utilizing big data and sophisticated analytics. In order to demonstrate how AI may help mitigate the effects of climate change, its potential to drive energy efficiency through smart grid technology and real-time energy management systems is also explored. The strategic implications of integrating AI for company resilience are also covered in this chapter. It emphasizes how crucial AI is to improving adaptive capacity and helping firms more efficiently foresee and react to crises. The chapter illustrates how AI-driven innovations have helped firms overcome obstacles brought on by shifting customer expectations, environmental changes, and economic instability through case studies and actual data. But there are difficulties in integrating AI for sustainability. The chapter discusses ethical issues such as algorithmic biases, data privacy, and the socioeconomic effects of AI use. It asks for a well-rounded strategy to guarantee that the advantages of AI are dispersed fairly and in line with larger social ideals. The emphasis is on the necessity of strong governance frameworks and moral principles to direct the use of AI and guarantee the openness, accountability, and inclusivity of AI-driven sustainability projects. This chapter concludes by arguing that AI has the enormous potential to transform corporate sustainability by promoting adaptation and resilience in the face of new obstacles. Businesses may improve their sustainability performance and obtain a competitive advantage in a market where consumers are becoming more conscientious by adopting AI technology. The chapter promotes an aggressive, all-encompassing strategy for integrating AI that combines scientific advancement with the ideas of sustainable development. A resilient and sustainable future will be shaped by enterprises' strategic alignment of AI with sustainability objectives as they set out on this revolutionary path. [ABSTRACT FROM AUTHOR]