Advanced AI models, such as Google DeepMind's WNV3 ensemble forecasts, are increasingly being used to predict cyclonic activity. These models analyse various atmospheric parameters, including upper-level winds and jet streaks, to forecast the potential formation and intensity of cyclones. For instance, light easterly upper-level winds combined with a jet streak to the north can aid outflow, creating an environment conducive to strong cyclonic systems. Such predictions are crucial for early warnings and preparedness in cyclone-prone areas.