I see it all the time in my domain (search). Novice data scientists getting into a new field quickly get frustrated with existing practitioners. Existing practitioners want to use tried and true methods; data scientists want to reinvent the field with ML. The existing practitioners don’t know how to manage the usually black-box ML solution. Data scientists don't know the domain enough to be effective. So it doesn’t go far.

It’s a dynamic that sadly burns out overly optimistic, but smart data scientists and sadly leaves a negative impression on existing practitioners on the promise of ML. Those practitioners stick their head back in a hole instead of innovating.

All to say with more explainable ML (and more humility on everyone’s part) more progress would be made.