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Of course you don't need to keep trying until you think it's good. But if you haven't found anything it's good at, and meanwhile lots of smart and seemingly-honest people are saying they've found it to be very good at some things, then it's pretty likely that you really are holding it wrong (and perhaps not even trying to hold it right in the first place).

How do you account for the lots of smart and seemingly-honest people who are saying they've earnestly tried it and find it not useful? These are all just personal accounts. The only empirical evidence we have is the output, but there is conspicuously no big successful AI project taking over anything, which is some minor evidence against.

No, they're saying there are upsides, even if you think they are small, or think they don't outweigh the downsides, you at least have to be honest about where the utility is.

No, it just means you have to learn to use the tool well.