It's certainly a good question. On the idealistic side it's the right choice, people should have the right to have a say in their own data since it's implicitly copyrighted. GDPR has done wonders to prevent careless personal data leaks that are so common in the US, and other kinds of abuse.
In a more practical view though I'm not sure if it'll do anything to stop job replacement from automation as such. Most corporations seem all to eager to make deals with OAI or Anthropic here anyway, and if not that it'll be Chinese ones.
There is a question of "representation", like if a model cannot be trained on the data of one specific country with a specific language, then it does not learn it and the people of that country are now at a disadvantage when trying to leverage the result. Maybe that's a good thing, maybe not, depending on the perspective of how the model is being applied relative to the average person. If it's something that makes their job easier then it's a negative, if it's used by the government to automate scanning all chats then it would be beneficial for it to suck. For widespread languages that doesn't apply of course, so the UK and Spain might as well be exempt.
In general I think it's good for the EU to try and slow down adoption of bleeding edge tech so the US population with its lack of regulations can act as guinea pigs and absorb most of the early damage until we figure out what is the best approach when we get around to adopting it. Even if that means missing out on potential early upsides too. An old example is lots of late adopters going straight to gigabit fiber instead of being stuck on copper DSL.