The application of artificial intelligence (AI) brings revolutionary change to the sectors of energy production together with agriculture and healthcare and urban planning. Resource management becomes more effective through AI along with reduced carbon emissions and improved decision-making which creates an environmentally sustainable future through machine learning, data analytics, and automation systems. By leveraging AI in precision farming the agricultural sector obtains higher yields through minimization of operational wastes and environmental damage. AI-based predictive analytics enhances early illness detection in healthcare institutions thus producing better public health results while minimizing unnecessary medical waste. The capabilities of AI to forecast environmental dangers and model climate trends enable it to optimize industrial processes thus lowering industrial emissions. The technologies behind AI bring together advantages that include smart trash disposal management and better traffic management and environmentally friendly infrastructure planning. Coveted inclusive and responsible AI adoption needs the solution of issues regarding data privacy together with ethical obligations and digital exclusion. Social and environmental progress at a global level is assessed in the article through its exploration of the AI-sustainability connection. The article details the necessary technology improvements along with policy solutions for maximizing AI advantages through risk reduction strategies. The complete realization of sustainable potential from AI demands combined efforts between governments and business entities and researchers.