The work co-led by our Digital Earth team in the Caribbean on housing stock mapping with AI was highlighted as a Case Study in the "UNFCCC Technology Executive Committee Information Note on Artificial Intelligence for Climate Action in Developing Countries: Opportunities, Challenges and Risks", launched at COP29. This work was financed by the Global Facility for Disaster Reduction and Recovery. The goal was to enable government agencies to swiftly and cost-effectively identify damaged buildings following a disaster and proactively detect at-risk structures before a disaster occurs.