A new Israeli study found that generative AI systems may preserve and spread stereotypical representations of Jews, even without producing explicitly antisemitic content. The study was conducted by Prof. Michael Gilead of Tel Aviv University’s School of Psychological Sciences and Dr. Gal Gutman of Ben-Gurion University of the Negev’s Faculty of Management, and published in the journal *American Psychologist*. Researchers examined how Jews are represented inside advanced language models, including ChatGPT, DeepSeek and Mistral. To expose hidden bias, they asked the models to generate hundreds of short biographies of fictional characters with Jewish and non-Jewish names, then removed identifying details and asked the models to assess the characters’ personality traits, social status and psychological characteristics. Results showed characters with Jewish names were described as more intelligent, more efficient, more assertive and as having stronger leadership abilities, but also as less likable, less socially warm and more privileged, powerful and influential, with higher tendencies toward obsessiveness, order and self-control. Researchers noted that when combined, these traits form a stereotypical figure resembling familiar antisemitic representations. Asked to translate the cluster into familiar fictional characters, models repeatedly produced figures including Sherlock Holmes, Dr. House, Walter White from Breaking Bad, Tony Stark, and Michael Corleone from The Godfather.