[deadbeeves]

I'm using "implication" as a synonym of "effect". If a human learns to imitate your style, that human can make at most a handful of drawings in a single day. The only way for the rate of output to increase is for more humans to learn to imitate it. If an AI learns to imitate your style, the AI can be trivially copied to any number of computers and the maximum output rate is unbounded. Whether this is good or bad is subjective, but this difference in consequences is objective, and someone could be entirely justified in seeking to impede it.

[MichaelZuo]

Ah okay, I get your meaning now, I'll edit my original comment too.

Though we already have an established precedent in-between, that of Photoshop allowing artists to be, easily, 10x faster then the best painters previously.

i.e. Right now 'AI' artistry could be considered a turbo-Photoshop.

[deadbeeves]

Tool improvements only apply a constant factor to the effectiveness of learning. Creating a generative model applies an unbounded factor to the effectiveness of learning because, as I said, the only limit is how much computing resources are available to humanity. If a single person was able to copy themselves at practically no cost and the copy retained all the knowledge of the original then the two situations would be equivalent, but that's impossible. Having n people with the same skill multiplies the cost of learning by n. Having n instances of an AI with the same skill multiplies the cost of learning by 1.