I think it will be a mixed bag though. Sort of like you don't need to know how a transistor works to code, or how a computer is manufactured, I think A.I. will help in ways where it's built on something else and can augment the human brain. I.e. a designer might be able to use A.I. to help them come up with new solutions without the A.I. fully completing the design. Then systems get built on systems, which speed up aspects of things. I think "strong enough" A.I. will get built in a lab such that said systems can help improve things faster.

Stanford University's AI Index 2019 annual report has found that the speed of artificial intelligence (AI) is outpacing Moore's Law. Moore's Law maps out how processor speeds double every 18 months to two years, which means application developers can expect a doubling in application performance for the same hardware cost. But the Stanford report, produced in partnership with McKinsey & Company, Google, PwC, OpenAI, Genpact and AI21Labs, found that AI computational power is accelerating faster than traditional processor development. "Prior to 2012, AI results closely tracked Moore's Law, with compute doubling every two years.," "Post-2012, compute has been doubling every 3.4 months."