Modern hospitals are always operational and require many resources. To ensure continued delivery of medical services, they need a lot of water, electricity, medical supplies, and other resources. Hospitals also produce lots of waste, whether dangerous or not, increasing the costs of operation and pollution. In today's world, hospitals must find a way to offer quality medical services while at the same time being environmentally friendly as there are concerns about global warming and rising healthcare costs. AI is one of the major players in the quest for environmental sustainability within hospitals. It helps in making decisions through analysis of data, automation, and improvement of operations. The current research aims to explore the role of AI in decreasing waste production and energy efficiency in healthcare facilities. As indicated by the research findings, AI systems can significantly lower energy use by 10%– 30%, enhance supply chain operations, cut down disposal costs, and boost waste management. Nonetheless, AI systems are computationally intensive, and unless this issue is carefully handled, AI may end up negatively affecting the environment. It is recommended that a sustainable AI system be developed, taking into account both economic gains and environmental considerations