The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.

Google is collaborating with the UN and other groups to use AI for predicting natural disasters like floods and hurricanes, enabling early warnings and safer evacuations. AI also helps analyze satellite images to identify damaged buildings, accelerating aid delivery.

In 2025, the U.S. National Hurricane Center used Google’s WeatherNext model to predict Hurricane Melissa’s landfall five days in advance, allowing Jamaica to notify the public. Similar approaches in Nigeria helped communities prepare for floods and safely evacuate.

Google’s Flood Hub provides flood forecasts for over 2 billion people across 150 countries. A pilot with the WMO and national agencies in Czechia, Nigeria, Uruguay, and Vietnam showed that local data improves AI forecasts in ungauged areas, offering a blueprint for better national forecasting.

Post-disaster, AI tools like DISHA enable rapid damage assessments using satellite imagery, supporting recovery efforts after events like Hurricane Melissa and floods in Colombia. Google’s Earth AI collection combines climate and geospatial models to provide actionable planetary insights for disaster response and monitoring.