When AI Talks About Candidates, It Doesn't Talk About Them the Same Way Twice

We measured how AI models represent political figures across a full voter conversation, not a single query. The same failure patterns showed up for JD Vance and Gavin Newsom. That's the finding. Not who scored higher. That the shape of the distortion is identical across party lines. This matters beyond politics. It's evidence that AI representation failures are a property of the models and the conversation structure, not the subject. The same mechanism that thins out a candidate's record under scrutiny is the mechanism that drops a brand from a buying recommendation. Different subject, same architecture.