The more persuasive an AI system becomes, the more its responsible use depends on the very capacities for critical evaluation and independent judgment that the system cannot reliably supply.
As employers increasingly expect college graduates to enter the workforce fluent in artificial intelligence, higher education remains entangled in competing philosophies of its pedagogical purpose, institutional readiness, and academic integrity, confronting the uncomfortable prospect of preparing students to exercise sophisticated judgment with technologies when the foundational literacies upon which that judgment depends remain unsettled. The U.S. labor market, however, has shown little inclination to await the resolution of these educational or philosophical debates. Employer expectations are advancing with an urgency that higher education's legacy approach to AI adoption has yet to match. Caught between these diverging trajectories are current students and recent college graduates, who are increasingly expected to demonstrate AI competencies their institutions have yet to consistently define, teach, or assess. The resulting disparity raises a consequential question about higher education's responsibility to prepare college graduates for a workforce in which AI fluency has rapidly become a prerequisite of employability.
