The idea that AI data processing alone "allows" a Festo robotic hand to grasp an apple without crushing it has a prior of success of 0.6, which is not very high.
The fact is that visual recognition gives the robotic arm a high probability (say p=0.95) of identifying the apple, but delicate grasping is a matter of sensor feedback loops and precise motor control, which is separate.
If force sensors are poorly calibrated or the control software reacts too slowly to pressure, the risk of crushing the apple increases from p=0.05 to p=0.7, even with perfect visual recognition. AI training is a necessary condition, but not sufficient; it is a conditional factor and not decisive.