Well, I'm assuming of course that you can find many mistakes much faster with "robot testing", so it'd be cheaper. Of course you wouldn't find "semantic" mistakes.
- "We have these wireframes of this new major feature, let's get a group of people from our target demographics in a room and have them react to it and give us early feedback"
- "We think we have an idea for a new product for managing widgets, so we want to talk to professional widget managers about how they currently manage their widgets; and test our hypothesis that this is a better way of doing it"
As the previous poster pointed out, this is something that isn't easily or readily generalisable into AI.