The reduction in data collection and climate research funding could have significant implications for public safety and economic sectors reliant on accurate weather forecasts. Experts highlight that AI-based models, while promising, struggle to predict extreme weather events due to their reliance on historical data patterns. This limitation could lead to less reliable forecasts during critical weather events, such as hurricanes or blizzards. Additionally, the cuts may exacerbate existing challenges in NOAA's operations, including understaffing and outdated infrastructure. The potential for less accurate forecasting poses risks to disaster preparedness, aviation safety, and sectors like agriculture and energy, which depend on precise weather predictions.