A French study published in Frontiers in Artificial Intelligence reveals that AI models outperform traditional weather alerts in forecasting emergency scenarios. By analyzing 334,000 firefighter interventions, AI using tools like XGBoost and Random Forest achieved superior accuracy and recall. These models interpret plain-text bulletins to produce real-time risk maps, offering scalable solutions for underserved regions. Researchers advocate blending AI's speed with traditional forecasting to enhance emergency preparedness.