What seems to be coming up repeatedly is that machine learning techniques are pretty good at being almost adequate replacements for recognition problems. Able to catch blunders but also missing at a rate high enough that you need the expert human anyway. In reality just replacing human kinds of error with machine kinds of error.

Automation though can also make experts stupid depriving them of the practice to keep skills sharp.