I teach it, my background is located in my profile and my research focuses on CS education.
Scale and impact do matter, I wholeheartedly agree. However, I stand by my point that genAI is mirroring how humans learn - repetition of previously observed actions. As part of my dissertation, I argued that humans operate using 'templates', or previously established frameworks / systems. Even in higher cognitive tasks like problem solving, we rely on workflows that we were trained on previously. Soloway referred to problem solving as a mental set of "basic recurring plans" [1] and if you look at the old 1980s Usborne children's books, they required kids to retype code [2]. For creative tasks, depending on the actor's background, Method and Meisner both tell people to draw from previous experiences and observations to develop a character. This behavior is similar in many areas like music, dance, martial arts, cooking, language acquisition, etc.
I am not making an ethical argument that GenAI violating copyright is okay because that's what humans do. I'm arguing that GenAI mirrors how humans learn. We observe a behavior and attempt to recreate that behavior. The difference is that humans can extract a fraction of the behavior and utilize it as part of something larger while GenAI cannot to the degree humans do. I'm sure GenAI would struggle to recreate "Who Framed Roger Rabbit?" because of the two polar different visual elements of the film (cartoon and real life).
In regards to your "If you’re talking ethics, talk about impact" section, its a bit of a loaded question. One side of the conversation could state that GenAI is helping many people that do not have confidence in their creative ability to produce their ideas, while the other could state its making it harder for artists.
Yes, it absolutely is hurting artists and I fully support the recent writer's strike over AI concerns. But I do not believe that diminishes how the mathematical models used in GenAI mirror our own skill acquistion.