Wang et al. show that prompting LLMs to “speak as” certain identities can distort or flatten those identities. When replaced for real people in surveys or user tests, LLMs risk perpetuating stereotypes, misportraying minority standpoints, and erasing lived experiences. https://www.nature.com/articles/s42256-025-00986-z