Summary: Even if AI matches researcher-output quality, human-led research will remain essential — the team learning from observing users can't be outsourced.
Some people argue that AI can eliminate the need for research. Why speak to real people — who are hard to pin down — when AI can simulate them or interview them for you? Why analyze your data when AI can sort and theme it in seconds?
Today's AI can't moderate a session as well as an experienced researcher , and its analysis tends to be coherent but superficial. But those limitations may not last. Imagine AI becomes capable of designing, conducting, and analyzing studies well enough that the outputs are indistinguishable from those of an experienced researcher. Would that be the end of human-led research?
Research Produces More than Findings
Ten years ago, while researching adults who couldn’t read or write, I heard a participant describe how his reading difficulties went unnoticed as a child, leaving him embarrassed and isolated for decades. Growing up, he had watched his mother lose herself in a book and thought it looked so peaceful; he wished he could have that for himself. Eventually, a charity paired him with a volunteer who helped him learn, and he finally experienced the joy of reading for himself. When I later told my husband the story, it moved us both enough to donate to that same charity — an example of how research can change people in ways a report alone cannot.
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