Mining companies are using AI, machine learning, and robots to improve efficiency and productivity. Rio Tinto uses autonomous haul trucks and trains, sensors to monitor equipment and predict maintenance needs, and machine learning to optimize mineral exploration and sorting. Rio Tinto collects 2.4 terabytes of data per minute from sensors to monitor operations and create a digital twin model to test scenarios. The technologies improve safety, reduce costs, and increase productivity by 10-13% but require retraining workers with new data analytics skills.