A 2025 study from Clemson University reveals that AI-powered models, particularly GRU and LSTM neural networks, outperform the U.S. National Water Model in predicting floods. These models demonstrated faster, more accurate forecasts with significantly lower error margins. GRU models even predicted flood peaks within an hour of real events. As climate change intensifies flooding, AI emerges as a critical tool for early warning systems and disaster response.