Leaders typically focus on technical AI risks like hallucination and model drift, but four distinct domains require attention: technical (unexplainability), societal/ethical (autonomy erosion), operational/organizational (accountability gaps and over-reliance), and adversarial/security (which grew eightfold from 2022–2025). Gaps between what organizations monitor and what matters most create vulnerability to future incidents.