A recent survey of computer science educators found that a significant majority have adjusted their exam formats to account for the impact of AI coding tools. Many have shifted towards oral exams, proctored tests, and project-based work, focusing on understanding code rather than just writing it. However, nearly half of respondents reported a lack of proven examples for incorporating AI into their courses. This shift highlights the need for educators to adapt to a changing landscape, where traditional assessment methods may no longer be effective. The implications of this trend matter as it affects the way students are evaluated and the skills they are expected to demonstrate.