Those concerns can be resolved by decoupling the text generation from the recommendation engine. It works by casting your intent and match it up with an advertiser's in a secured environment where the advertiser doesn't actually get to see your chats. For example, if you are talking about knee pain during trail running, the recommendation engine might cast "knee pain for runners" and either a shoe company or a physiotherapist would bid against that in an embedding space.
Because the recommendation engine is an opt-in module for publishers and users, it's game-theory welfare maximizing.
I talk a lot more about this on my blog, it goes on for quite a while. https://www.june.kim/vector-space
The exchange is live, with no publishers or advertisers. https://vectorspace.exchange/
I've been running a 1-man software business for over 20 years and it is getting increasingly hard. I no longer get impressions from PPC Ads unless I bid so high that I make no profit. Magazine ads aren't really a thing now. The AIs are stealing my content and SEO works less and less. The channel is being flooded with low effort slop. Traffic to my website is steadily going down. It is hard to know what to do about it. Maybe I can buy some clicks from ChatGpt ads at a price where I can make profit, before the prices rise out of reach?
https://en.wikipedia.org/wiki/Generative_engine_optimization
The answer may still be the same: go where the attention is. Right now, that attention is concentrated in prompting frontends.