I think this question applies to all applications of machine learning. PR pieces love to label every application of ML to a novel field as "artificial intelligence," even when the predictions are simple enough to be predicted by statistical regression (and in many cases that's effectively what is happening).

So yes, many applications of ML are something "a regular data science team could do." However, isn't the main benefit of ML removing the need for a team of data scientists? Of course you will need some data scientists / ML engineers to support the ML product itself, but ultimately the gains will be realized from the ML doing the work that traditionally required a team of data scientists.