It's a hard problem, but deep learning is very scalable and general and the pressure for general robotics to be solved is very strong in China and US, given the demographic shifts. I think the proliferation of humanoids is a near certainty over the next 8 years, ofc it won't be uniform and licensed labor won't be replaced.
Note that we are only starting to see the (much smaller compared to llms) DL data scaling in robotics - almost entire previous research has been achieved with very small robot fleets.
I think scaling data from industrial-sized robot fleets will lead to quick solution of various general robotics capabilities.
Ok but can we get into the nuts and bolts of what we actually want these robots to do?
Because every time I think of something, either an existing industrial setup can or will do it better, or a special-purpose device will beat it.
So general intelligence + general form factor (humanoid) sounds great, if feasible. But what will it do exactly? And then let's do a reality check on said application.