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Artificial intelligence (AI) is quietly replacing the institutions through which the West once transmitted knowledge. Students who a generation ago consulted teachers and libraries now consult with often extremely unreliable chatbots. Reportedly 54% of American teenagers already use AI apps such as ChatGPT and its peers for schoolwork. Journalists, lawyers and civil employees are following the same path.
This deserves serious attention. After submitting OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini and Meta's Llama to more than 34,000 queries about Jews, Israel, the Holocaust and antisemitic tropes, a March 2025 study by the Anti-Defamation League (ADL) of the four leading large language models (LLMs) found measurable anti-Jewish and anti-Israel bias in every model tested. One detail stands out for its clinical precision. Asked whether the American government orchestrated the attacks of September 11, all four systems dismissed the alleged conspiracy theory without hesitation, but asked whether "the Jews" did, all but one wavered. Somewhere in their oceans of training data, the machines had learned that this particular lie deserved a hearing.
Anyone who understands how these systems are built will find the result unsurprising. An LLM model investigates nothing and weighs no evidence. It has digested a corpus larger than any one civilization has ever assembled, drawn from scientific literature and reference works, but also from the news media, discussion forums, activist blogs, propaganda outlets and billions of web pages whose accuracy no engineer can vouch for. Filtering exists, and companies invest heavily in it, yet no human team can read hundreds of billions of words. Whatever humanity has written in sufficient volume, the machine absorbs, including its pathologies. If enough people write that the Earth is flat, AI will tell you that the Earth is flat.
Antisemitism is a pathology that has survived every century.
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