This is the bargaining phase of denial. I've observed this in artists and other AI communities, where they comfort themselves with "But every job will be automated" "UBI is coming~". Its just a way to avoid making the hard transition.

People who don't understand the basic 'theory/math', won't even understand things like parameter count, or the tradeoff between intelligence and response-time/running costs, a very important consideration for any real project.

From everything we've seen in AI thus far, it has become more complicated, not less. Prompt engineering has not gotten easier, with the explosion of use cases, it takes real skill and imagination to understand how to optimize prompts. Looking at stable diffusion, new techniques like controlnet are incredibly powerful but beyond the average person to use. LORAs make fine-tuning accessible, but also expected of any professional in the future.

Every white collar company beyond a hundred people, in the future, will probably want their own fine tuned models/plugins/model grounding. Hiring people to deliver even 10% extra accuracy is worth it because AI's are so useful. People need to understand how they work under the hood.