AI becomes a transformative force for sustaining climate action through smarter, more adaptive tools. As climate challenges grow in scale and complexity, AI analyzes vast datasets, optimizes energy systems, predicts environmental changes, and supports more informed decision-making across industries. From improving renewable energy efficiency to monitoring deforestation and reducing emissions, AI bridges the gap between climate goals and real-world outcomes. By integrating technological innovation with environmental responsibility, AI may improve global efforts to combat climate change. Sustaining Climate Action With AI explores how AI can support climate action and green innovation while advancing the broader goals of sustainable development. It addresses governance, ethics, equity, and environmental trade-offs associated with AI deployment, including energy consumption of AI systems, data justice, and digital divides, examining issues relevant to developing and emerging economies. This book covers topics such as climate change, water management, and decarbonization, and is a useful resource for engineers, policymakers, academicians, researchers, and scientists.