I think this should generally be true. The aggregation performed by model training is highly lossy and the model itself is a derived work at worst and is certainly fair use. It may produce stuff that violates copyright, but the way you use or distribute the product of the model that can violate copyright. Making it write code that’s a clone of copyright code or making it make pictures with copy right imagery in it or…
There's no difference between an art student looking through a museum or archives for ideas and an AI using the material for training. Same could be said for reading. A medical student reading through textbooks or a writer who reads is essentially what an AI is doing. You can ask an art student to create something in a certain style. You can get writes to write in a certain style. Equivalent.
A student learning from other artists is still limited in their output to human-scale - they must physically create the new thing. An AI model is not - the difference between a student learning from an artist and an AI model doing so is the AI model can flood the market with knockoffs at a magnitude the student cannot meet. Similarly, the AI model can simultaneously learn from and mimic the entirety of the art community, where the student has to focus and take time.
If this weren't capitalism - if artists weren't literally reliant on their art to eat, and if the market captured by the AI model didn't inevitably consolidate wealth - then we might be able to ignore that, but we do, and we can't ignore the economic effects when we consider scale like this.