The division of comparative advantage between AI and human right now is AI is best at generalization 99% of the time, but AI as a pattern recognition algorithm is not very good at handling outliers.

The most effective way to use AI is to let AI go first, hoping the output would get you to
90%-99% of the way, and human do the final validation and touch up.

Now, understanding this, how does this impact our opinion?