I think the problem with AI being everywhere and ubiquitous is that AI is the first technology in a very long time that requires non-trivial compute power. That compute power costs money. This is why you only get a limited number of messages every few hours from GPT4. It simply costs too much to be a ubiquitous technology.
For example, the biggest LLama model only runs on an A100 that costs about $15,000 on ebay. The new H100 that is 3x faster goes for about $40,000 and both of these cards can only support a limited number of users, not the tens of thousands of users who can run off a high-end webserver.
I'd imagine Google would lose a lot of money if they put GPT4 level AI into every search, and they are obsessed with cost per search. Multiply that by the billions and it's the kind of thing that will not be cheap enough to be ad supported.
For example, the biggest LLama model only runs on an A100 that costs about $15,000 on ebay. The new H100 that is 3x faster goes for about $40,000 and both of these cards can only support a limited number of users, not the tens of thousands of users who can run off a high-end webserver.
I'd imagine Google would lose a lot of money if they put GPT4 level AI into every search, and they are obsessed with cost per search. Multiply that by the billions and it's the kind of thing that will not be cheap enough to be ad supported.