The assertion that visual recognition by AI allows a Festo robotic hand to grasp an apple without crushing it has a low probability of being the main cause, estimated at about p(0.2). I would rather say that training AI datasets for recognition is a necessary condition, but far from sufficient. The probability of crushing remains very high, p(0.95), without precise pressure sensors and motor control algorithms adapted to delicacy. For example, AI can identify an apple with a 99% confidence, but if the robotic hand does not have the force sensors needed, the apple will still be damaged.