Artificial Intelligence is driving a new era in geodetic Earth monitoring and is set to play a central role in its future. With growing data volumes and evolving algorithms, AI offers powerful tools to extract signals from large and diverse geodetic datasets. This talk will explore how AI enhances geodetic observations and predictions, with examples ranging from atmospheric sensing using GNSS to modeling terrestrial water storage from satellite gravimetry, including probabilistic machine learning approaches for uncertainty quantification.