Why is the "robot dexterous hand" problem so hard? Is the shift from digital to analog AI a necessary condition for achieving true dexterity?

This is a community discussion post asking why even the most advanced humanoid robots, which are still controlled by large-scale digital neural networks, make mistakes such as dropping cups or crushing eggs due to latency, and questioning whether digital computing power has fundamental limitations for dexterous hands. The poster points out that biological reflex circuits are analog and asynchronous, and asks how many companies are developing mixed-signal or neuromorphic hardware for robotic hands rather than simply scaling up software.