[linsomniac]

>Should you gamble your career? [...] Consider the case where [you let your skills stagnate and AI falls flat].

Sure. But the converse is true as well: consider the case where you don't learn the AI tooling and AI does improve apace.

That is also gambling your career. Are you ready for pointed questions being asked about why you spent 2 days working on something that AI can do in 15 minutes, so be prepared with some answers for that.

[written-beyond]

"Learn AI tooling"

What is there to learn, honestly? People act like it's learning to write a Linux driver.

The maximum knowledge you need how to write a plan or text file. Maybe throw in a "Plz no mistakes"

There's no specific model, a better one comes out every month, everything is stochastic.

[linsomniac]

>What is there to learn, honestly?

With all due respect, that answer shows that you don't know enough about agentic coding to form an opinion on this.

Things to learn:

    - What agent are you going to use?
    - What skills are you going to use?
    - What MCPs are you going to use?
    - What artifacts are you going to provide beyond the prompt?
    - How are you going to structure it so the tooling can succeed without human interaction?
    - Are you going to use agent orchestration and if so which?
    - Are you going to have it "ultrathink" or not?
    - Are you going to use a PRD or a checklist or the toolings own planning?
    - Which model or combination of models are you going to use today?  (Yes, that changes)
    - Do you have the basic English (or whatever) skills to communicate with the model, or do you need to develop them?   (I'm seeing some correlations between people with poor communication skills and those struggling with AI)

Those are a few off the top of my head. "Plz no mistakes" is not even a thing.