But mostly objective limitations. The most advanced minds executing the most robust, cutting edge ML aren't likely to do very much better. And most of the metrics by which they might suggest otherwise end up being flawed themselves due to the bias introduced by the feedback loops involved.

When your predicate influences the next version's antecedent, it's easy to show a big ROI, lift, or whatever other jargon you might care to use.