Even before LLMs, Data Science was being replaced by more specialization, IME.

Data Engineers took over the plumbing once they moved on from Scala and Spark. ML Engineers took over the modeling (and LLMs are now killing this job too, as it’s rare to need model training outside of big labs). Data analysts have to know SQL and python these days, and most DS are now just this, but with a nicer title and higher pay.

Once upon a time I thought DS would be much more about deeper statistics and causal inference, but those have proven to be rare, niche needs outside soft science academia.