Verification is important, but I think you're omitting from your imagination a real and large category of people who have a basic familiarity with spreadsheets and computers, so are able to understand a potential solution and see whether it makes sense, but who do not have the ability to quickly come up with it themselves.

In language it's the difference between receptive and productive vocabulary: there are words which you understand but which you would never say or write because they're part of your receptive, but not productive knowledge.

There are times when this will go wrong, because the LLM will can produce something plausible but incorrect and such a person will fail to spot it. And of course if you blindly trust it with something you're not actually capable of (or willing to) check then you will also get bad results.

it's not a replacement for a human brain, it's an assistant.

This is what I think AI and automation is generally good at and should be used for - mitigating unpleasant or repetitive work so that the focus of the user is productivity/creativity.

This is what this integration is for - it's not a replacement for a human brain, it's an assistant. As are all LLMs.

The context is something we disagree on wholeheartedly. Those funding and fundraising for AI and an enormous subset of those using are not looking to use AI in the way we are talking about. The prior are hoping to use AI to extract value from it at the expense of people who would otherwise need to be paid, or they and claim it can do anything and everything. Those using it, many of them, do not have a sufficient understanding to comprehend the solution. They are basically "vibe coding". Tell the LLM to do something they aren't knowledgeable about, then keep telling it to fix the problems until they don't see problems anymore. Yes, spreadsheet formulas are likely simpler than an app but I know people who use AI for Google Sheets and they rarely test any results, let alone rigorously.

Anecdotal, sure, but I don't have enough faith in humanity to presume everyone else is doing something wildly different.

Edit: To expand, LLMs specifically, are what I consider to be the worst side of "AI". You can use ML and neural networks to create "AI" (self altering, alien blackbox algorithms) to become proficient in analyzing information and solving problems. LLMs create a situation where the model appears intelligent because it knows how to mimic language... and so now we pretend like it can do whatever people can do.