You could also consider tricks to limit the amount of robotic hardware per unit of labor. For example, rail mounted arms use less parts than humanoids and likely have a longer MTBF and a lower error rate. (by likely I mean 'almost certainly', a humanoid chassis is a lot more joints and a lot less stability)
Factories designed around robots might be an OOM faster and more efficient than sending humanoids to operate current equipment.
The real question is : say you have the initial 1 billion robots. Half of them are sent to go make money to show the investors some revenue. Half (500 million) are send to the bottleneck steps in the supply chain for more robots.
What's the doubling time? How long until the second billion? How long can that billion copy itself?
Some good comments about this post on Less Wrong:
https://www.lesswrong.com/posts/6Jo4oCzPuXYgmB45q/how-quickly-could-robots-scale-up
You could also consider tricks to limit the amount of robotic hardware per unit of labor. For example, rail mounted arms use less parts than humanoids and likely have a longer MTBF and a lower error rate. (by likely I mean 'almost certainly', a humanoid chassis is a lot more joints and a lot less stability)
Factories designed around robots might be an OOM faster and more efficient than sending humanoids to operate current equipment.
The real question is : say you have the initial 1 billion robots. Half of them are sent to go make money to show the investors some revenue. Half (500 million) are send to the bottleneck steps in the supply chain for more robots.
What's the doubling time? How long until the second billion? How long can that billion copy itself?