Movement won't be pre-baked, a physics engine sim will be baked in to the neural network, and movements will be another dimension for the deep learning network. And then all of that will be baked into an agent that has been trained to carry out motives (with a simulation of your character, etc). The same applies to speech as movement. And the deep-learned compression rate will be magnificent.
No predictions, just an explainer of how AI agents are trained. For instance, RL is about presenting an environment via rules (gravity, etc), and letting the agent learn its way around, thus discovering what it can and cannot do (a policy for the environment).
You didn't explain how anything actually works, you gave a very crude prediction with a lot of holes of how you think something will work in the future.
