Right now the problem is the flood of low-quality AI spam that might (or might not) be low hanging fruit. We can worry about high quality AI artifacts later if that becomes a problem. (and yes, there is no guarantee that YouTube won't fail due to these spammers)
But is an algorithmic AI detector really a thing?
I get the idea: get 10k each samples of human data and AI data, train a simple classifier until it gets 99.9999% accuracy or <10k false negatives per day at your scale, ship it as a screening tool.
Is such tool feasible at all with current state of AI technology, or is it just a reasonable take from the past that may not be so reasonable anymore?