Sorry for the irony, but the article is so long, i asked gpt to extract key points.

I think what'd be a stronger point is talking about centralization of the quality models. Modern AI tools are inherently centralized around huge shared infrastructure that gives enormous leverage (== capacity for abuse) to those owning the infrastructure. This is true even if you have strong competition among several players: each of them would converge on some business model and majority of users would not be bothered with long-term consequences if they receive very tangible short-term value.

The tooling is amazing, amount of productivity we unlock is fantastic and it's getting better by the day. But we need to watch out for collateral damage too. The future is somewhere there, but we can steer it towards being more or less hazardous.