The idea that visual recognition by AI is the main driver of delicacy in robotic grasping is an overestimation with a score of 6 out of 10. The true capability of a robotic hand, like Festo's, to pick up an apple without crushing it depends 80% on its mechanical engineering and sensor accuracy, leaving about 20% influence to visual AI. If AI identifies the apple with a 99% reliability, a poorly calibrated hand will crush the fruit 8 times out of 10. Visual recognition provides the target, but execution is a matter of haptic mechanics, with a 1:4 importance ratio between AI vision and physical robotics.