When I have a good idea that I can hit what I want in a single query, I still use search engines directly a lot. But I have found AI is pretty decent at automating the process of making a vague search, picking up from the search better search terms, then making a couple of other wrong searches, then refining down to what I really want and potentially pulling together an answer from multiple sources. I know how to do all that, but the AI can do in a minute what may take me 15 minutes.

I'd say I also know I can still do it, but... as the search engines deteriorate it is getting somewhat harder to do this by hand than it used to be. I still do this by hand sometimes for cases where I want the exploration of a topic for myself, rather than a focused answer where I don't really care about what I learn along the way, and it's getting harder. I don't know that it'll converge at "zero value" but the search result pages seem like they're just... harder to use for this than they used to be, though it's hard to put my finger on how.

I'd argue that it's not that Claude is better, but that Google has gotten worse.

I did this but have (partly) reverted. I don't always want to read a wall of text that an AI regurgitates for search. The google AI snippet (1 short para) does seem better than the typical ChatGPT response.

Search engines without ads exist.

Try noai.duckduckgo.com. Decent search results, actual sources, no risk of hallucination, no extreme energy cost.

I don't know why this sentiment isn't more common. LLMs are basically two things: 1. chatbots 2. automation for the process of googling something and copy-pasting the first result. The only people I know who use it for more than those two things ask them to perform tasks they can't do reliably, don't check the output, and then they're just wrong most of the time. If they had just used it as slightly different google search they'd have been fine.