The link between sustainability and artificial intelligence presents a significant opportunity to tackle global environmental issues like climate change, resource depletion, and ecosystem destruction. This paper examines how AI technologies, including machine learning and data analysis, are being used in different sectors to improve sustainability efforts. AI solutions are making energy use more efficient in smart grids, lessening environmental damage in agriculture through precision farming, and improving waste management systems. Nonetheless, incorporating AI into sustainability practices also brings challenges. These include the environmental effects of AI’s energy use, the risk of biases in algorithms, and the need for fair access to AI’s benefits. This paper emphasizes the necessity of creating clear, responsible, and inclusive AI systems and governance structures to ensure AI positively impacts sustainability goals while reducing potential risks and inequalities. It includes case studies to showcase the real-world applications and implications of AI in sustainability.

R. Janarthanan, Muthu Mounika. M, Naveen. R,"Intersection of Sustainability and Artificial Intelligence" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(4): Page(179-185) March - April 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.