This chapter also examines AI’s dual role as a catalyst for improving efficiency, a driver of systemic change, and its use in emissions monitoring, climate modelling, and international governance. From satellite networks to IoT sensors and machine learning, AI enables real-time greenhouse gas emissions tracking; improving predictive modelling of climate risks empowers policymakers and corporate coalitions to tweak operations with planet boundaries in mind. Case studies demonstrate how AI can enhance transparency in climate diplomacy, assist in verifying observance of international agreements, and support equitable resource allocation. Yet, there are also challenges, posing risks—AI’s energy footprint, data bias, and the consolidation of technological power in the Global North. The analysis underscores the need for ethical frameworks, green AI standards, and inclusive governance to advance the development of AI systems that support equitable climate resilience. AI may help balance innovation and accountability, enabling climate technology to reach the market, linking ambition and action in the climate/sustainability space, and ultimately paving the way for sustainable transformation in our time of ecological urgency.