AI isn't the solution to everything, despite what some tech companies might want you to believe. Many companies are pushing AI into products where it's not particularly helpful, leading to frustration among users, and that's the sentiment you're picking up.

Specifically, the backlash is usually directed at LLMs and image-generating AIs. You don't hear people complaining about useful AI applications, like background blurring in Teams meetings. This feature uses AI to determine which parts of the image to blur and which to keep sharp, and it's a great example of AI being used correctly.

Signal processing is another area where AI excels. Cleaning audio signals with AI can yield amazing results, though I haven't heard people complain about this use. In fact, many might not even realize that AI is being used to enhance their audio experience.

AI is just a tool, and like any tool, it needs to be used appropriately. You just need to know when and how to use AI—and when to opt for other methods.

BTW even this text went through some AI modifiations. The early draft was a bit messy, I used an LLM to clean it up. As usual, the LLM went too far in some aspects, so I fixed the remaining issues manually.