Data quality issues show up faster when...

AI can't reason about what it can't see because AI requires evidence or the observed signals.

Correlation requires co-occurrence. If it is not in the data set it doesn't exist to the machine.

So the key insight is if there are omitted variables, there are going to be blind spots forever.