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You could make the same argument for any non-AI driven productivity tool/technique. If we can't trust the user to determine what is and is not time-saving then time-saving isn't a useful thing to discuss outside of an academic setting.

My issue with most AI discussions is they seem to completely change the dimensions we use to evaluate basic things. I believe if we replaced "AI" with "new useful tool" then people would be much more eager to adopt it.

What clicked for me is when I started treating it more like a tool and less like some sort of nebulous pandora's box.

Now to me it's no different than auto completing code, fuzzy finding files, regular expressions, garbage collection, unit testing, UI frameworks, design patterns, etc. It's just a tool. It has weaknesses and it has strengths. Use it for the strengths and account for the weaknesses.

Like any tool it can be destructive in the hands of an inexperienced person or a person who's asking it to do too much. But in the hands of someone who knows what they're doing and knows what they want out of it - it's so freakin' awesome.

Sorry for the digression. All that to say that if someone believes it's a productivity boost for them then I don't think they're being misled.