The article discusses how artificial intelligence combined with satellite imagery is revolutionizing disaster response, specifically in the aftermath of a 6.3 magnitude earthquake that struck Myanmar’s Shan state. AI technology helped analyze satellite images to quickly assess damage in hard-to-reach areas, enabling aid workers to respond more effectively. The system, developed by UN Satellite Centre (UNOSAT) and other partners, uses machine learning algorithms to compare pre- and post-disaster satellite imagery, identifying damaged buildings and infrastructure within hours instead of days. This technology proved particularly valuable in Myanmar, where political instability and military control make ground assessment difficult. The AI system identified approximately 1,700 damaged buildings across various townships, helping humanitarian organizations prioritize their response efforts. The article highlights how this technology represents a significant advancement in disaster response capabilities, allowing aid workers to make data-driven decisions quickly and allocate resources more efficiently. However, it also notes that while AI analysis provides crucial initial insights, it still requires human verification and ground-truthing to ensure accuracy. The integration of AI and satellite technology demonstrates a promising direction for future disaster response efforts, particularly in regions where physical access is limited due to political or geographical constraints.