Traditional numerical weather prediction models require massive computational resources and still struggle with tropical cyclone intensity forecasting. AI-based approaches trained on decades of atmospheric data are showing significant improvements in both track accuracy and intensity prediction, extending actionable warning times for vulnerable communities.