Japanese researchers have developed an AI-powered simulation system to predict and prepare for a potential Mount Fuji eruption’s impact on Tokyo. The simulation combines artificial intelligence with various data points including weather patterns, topographical information, and historical volcanic activity to create detailed predictions of ash distribution and its effects on critical infrastructure. The AI model suggests that a Fuji eruption could deposit up to 10 centimeters of ash across Tokyo, severely disrupting transportation networks, power supplies, and daily life for millions of residents. Key findings indicate that even a relatively small amount of volcanic ash could paralyze train systems, cause widespread power outages, and affect water treatment facilities. The simulation helps authorities develop targeted evacuation plans and infrastructure protection measures, particularly for critical areas like hospitals and emergency response centers. The AI system’s ability to process multiple scenarios quickly allows for better disaster preparedness and resource allocation. Government officials are using these insights to update disaster response protocols and public communication strategies. The research team emphasizes that while Mount Fuji hasn’t erupted since 1707, the probability of an eruption in the coming decades is significant enough to warrant such detailed preparation. The AI simulation represents a significant advancement in disaster preparedness technology, potentially serving as a model for other regions facing similar volcanic threats.