Not GP, but as a data engineer who has worked with data scientists for 20 years, I think the assessment is unfortunately true.

I used to work on teams where DS would put a ton of time into building quality models, gating production with defensible metrics. Now, my DS counterparts are writing prompts and calling it a day. I'm not at all convinced that the results are better, but I guess if you don't spend time (=money) on the work, it's hard to argue with the ROI?