A recent academic integrity investigation at Brown University has highlighted the escalating challenge of artificial intelligence-driven cheating in higher education. Professor Roberto Serrano, who instructs welfare economics and social choice theory, launched a review after identifying anomalous performance on a take-home midterm administered remotely following the December campus shooting. Serrano noted that generative AI has effectively reduced the cost of cheating to zero, creating a high temptation environment. When the course switched to an in-person final examination, a dramatic performance shift occurred: students who initially scored in the high nineties on the remote midterm saw their grades fall into the fifties, while several others withdrew from the class. Data visualizing these score disparities, first published by Inside Higher Ed, rapidly circulated across professional networks, drawing scrutiny from prominent technology figures including Y Combinator cofounder Paul Graham and researchers at Google DeepMind. Brown University confirmed the matter in a statement to Business Insider, stating that Serrano submitted the findings to the standing committee on academic integrity on July 8. University communications director Brian E. Clark affirmed that all allegations undergo rigorous procedural review. The widespread attention has ignited industry debate concerning workforce trust and the reliability of AI-assisted academic work. Serrano supported the perspective that consistently lower-scoring students may demonstrate greater reliability, emphasizing that institutional integrity remains essential for future hiring decisions. While grade fluctuations could partially stem from increased exam difficulty, the incident underscores a critical pivot point for educators adapting to artificial intelligence. Serrano plans to permanently remove take-home examinations and homework assignments from his curriculum, advising faculty to critically evaluate existing academic policies. The case serves as a definitive wake-up call for academia, demonstrating the urgent necessity for revised assessment frameworks as generative AI continues to transform educational practices.