The budget cuts and reliance on AI models could significantly impact the accuracy of weather forecasts, particularly for extreme weather events. This poses risks to public safety, disaster preparedness, and sectors such as agriculture, energy, and transportation. Experts highlight that AI models, while efficient, struggle to simulate unprecedented weather patterns, potentially compromising early warning systems. The reduction in data collection infrastructure, such as satellites and buoys, further exacerbates these challenges. As the U.S. braces for a summer of extreme heat and an active hurricane season, less reliable forecasts could hinder effective response and mitigation efforts.