[zelon88]

Humans design products with a variety of design elements to meet different circumstances.

Look at cars for example. Tell an ML model to "make a car that can drive over rocks" and it will give you a rock crawler with the motor in a location where it won't be easy to fix. Tell the ML model to "make a car that is easy to fix" and it will make a car that is probably unreliable. Tell it to make a car that is reliable and easy to fix you will get a car with no motor at all.

I'm not saying it's impossible, because it obviously is possible. I just think your 20 year time-frame is hopelessly optimistic. What good is an ML model that takes 10 weeks to setup that solves a problem that only takes 2 weeks to solve without ML?