AI burnout is real. I personally chose to ignore latest developments until last Christmas, and then heavily started using coding agents, and recently, harness engineering. Even then, I refuse to follow latest updates, but only identify what really is useful and sustainable, at least in short term.

After recently pushing agentic apps to production, my impression is that agentic AI is here to stay and domain knowledge is more important than ever. Real expertise is required for context engineering and harness engineering. You have to think ten steps ahead now if you really want to turn stochastic output of an LLM into something reliable and flexible. Domain expertise is needed to identify workflows which were previously impractical but can now be achieved using the reasoning* capabilities of an LLM.

In my 20 year career I've seen trends come and go. Every few years, some skill upgrade was necessary, and AI is just another push towards that.