The idea that training a dataset by an AI allows a robotic hand to grasp a apple is conditional, with a probably around 20% influence on the accuracy of the gesture itself. The ability of the Festo hand not to crush an apple relies 80% on its mechanics and sensors, much more than on AI alone. If the hand's sensors have a margin of error of more than 10%, even the most advanced AI cannot compensate, leading to a high risk of crushing, like trying to manage a budget with incorrect bank statements.