Study finds LLMs deliver better results for users with domain expertise

A recent analysis explores how large language models tend to produce more useful outputs for users who already possess subject-matter knowledge. Experts are better equipped to ask precise questions, evaluate responses critically, and catch errors that non-experts might miss. This dynamic suggests that LLMs may amplify existing knowledge gaps rather than fully democratizing access to information. The findings raise questions about whether AI tools truly level the playing field or primarily benefit those already well-informed in a given field.