This is a common phenomenon with humans, FWIW. The same sort of thing happens with traditional information sources. For example, when a media outlet reports on things we don't know much about personally, we believe them. Then they cover something where we have direct domain expertise and find all manner of misunderstandings and errors trivially, but instead of suspecting that they're likely just as wrong about a lot of other things as well, we assume it's a special case where they just got our special knowledge domain wrong.
In any case, to answer the OP... I use these new AI tools to generate content where the details don't matter and the cost of being wrong is near zero. Such as, graphics for slides, market/product/pitch blurb pablum, etc.
I use them to compensate for my limited artistic/graphic design skills and to overcome my propensity to tediously labor over copy despite that copy being basically throwaway.