I agree that AI can decimate workforce. My point is, other tools did that already and this is not unique to AI. Imagine electronic chip design. Transistor was invented in 40s and it was a giant tube. Today we have chips with billions of transistors. Initially people were designing circuits on transistor level, then register transfer level languages got invented and added a layer of abstraction. Today we even have high level synthesis languages which converts C to a gatelist. And consider the backend, this gate list is routed into physical transistors in a way that timing is met, clocks are distributed in balance, signal and power integrity are preserved, heat is removed etc. Considering there are billions of transistors and no single unique way of connecting them, tool gets creative and comes with a solution among virtually infinite possibilities which satisfy your specification. You have to tell the tool what you need, and give some guidance occasionally, but what it does is incredible, creative, and wouldn’t be possible if you gathered all engineers in the world and make them focus on a single complex chip without tools’ help. So they have been taking engineers’ jobs for decades, but what happened so far is that industry grew together with automation. If we reach the limits of demand, or physical limitations of technology, or people cannot adapt to the development of the tools fast enough by updating their job description and skillset, then decimation of the workforce happens. But this isn’t unique to AI.

I am not against regulating AI, I am just saying what I think will happen. Offloading all work to AI and getting UBI would be nice, but I don’t see that happening in near future.