Except for problems known as "embarassingly parallel", we often have trouble running even quite boring algorithms on 32 or 64 cores. In general setting 64 people in a job won't lead to a better or faster result than 2 or 3.

Given that, I don't see an immediate reason to believe throwing multiple AIs at a problem is going to exponentially scale either, given neither people nor bad AIs scale that way.