The integration of AI in disaster prediction has the potential to significantly reduce the impact of natural disasters, particularly in urban areas prone to flash flooding. However, the effectiveness of these technologies may be hindered by budget cuts faced by weather agencies, potentially limiting their ability to implement and maintain such systems. Urban populations, especially in flood-prone regions, stand to benefit the most from these advancements, but they also face risks if these technologies are not adequately supported.