Sports AI Failures Shape Forecast Trust

High‑visibility AI mistakes in easy‑to‑observe settings (like failing to predict the Kentucky Derby winner) act as informal experiments that recalibrate how the public and professionals trust AI forecasting. These failures are low‑harm but widely visible, making them litmus tests for claims about AI prediction skill across finance, health, and security. — If consumers and policymakers infer broad AI competence from visible successes and failures in sports, those inferences will influence regulation, procurement, and public trust in AI systems used in higher‑stakes domains.