This session focuses on rigorously integrating AI, climate science, and economic modeling to assess the costs and benefits of climate action, ultimately to help unlock and accelerate climate finance. The core hypothesis is that AI, climate and economic modeling together can generate better economic estimates of climate action, enabling financial markets to price-in risk and unlock investment. For instance, AI can be used for improved forecasts of climate-induced storm surges, assess storm adaptation measures like mangrove plantation, and economic models to quantify resulting benefits to local economies. Similar examples abound for areas like food security and energy sufficiency. While AI has advanced significantly in weather and climate modeling and predictive economics, a clear gap remains in connecting AI outcomes to tangible economic impacts. This session bridges these fields by welcoming abstracts and promoting cross-community dialogue among the AI, climate science, and economics communities.