You may be right. Although I think there's a shift to a more defined role in 'platform engineering'. In my experience, the business users are not programmers, but they have the domain knowledge, so they need guidance on what technologies to use and how to stitch them together.

I think there will be a shift to understanding which technologies to stitch together, proper configuration of those platforms, and securing them. The so called, providing 'golden paths' for business users to ingest philosophy.

But, anyway, I think I'm gonna shift to learn more 'analysis' like roles. I believe that's where humans will ultimately move towards, feeding these systems data, asking the right questions, learning how to prompt them, visualize the output, and analyze more deeply.

I have a question...I listen to "unsupervised learning" podcast. He has been constantly mentioning that these new generative AI models are going to take over alot of future cognitive work. He then goes on to say, "everyone needs to be ready for this". But what does that actually mean, concretely? What am I supposed to do to get ready? I'm already working in tech as a DevOps Engineer.

Do you feel like there will be a future need for "programmers" or "prompters" who know how to interact with with these AI and pick the right data sets instead of actually knowing how to write "syntax"?