Authors - Kamalakar S, Anjan Babu G, Ravi Kumar G Abstract - Artificial intelligence has become an important tool for addressing environmental challenges because it can analyze large datasets, detect patterns, and support accurate predictions. As climate change increases pressure on natural and built environments, organizations adopt AI to improve monitoring, optimize resource use, and inform sustainability decisions, though research remains fragmented. This review examines studies from 2020 to 2025 and assesses how AI is applied in renewable energy, water management, agriculture, waste management and the circular economy, and environmental health and public safety. A major objective of this synthesis is to highlight commonly employed functions by researchers and practitioners such as forecasting, anomaly detection, and operational optimization, alongside emerging model frameworks that strengthen environmental management. While AI offers meaningful benefits, it also presents challenges related to governance, transparency, and the energy demands of large scale models. This review consolidates developments and identifies priorities for future research.