A new study by the University of Kansas reveals that journalism programs across the United States lack a consistent approach to artificial intelligence in the classroom. Published in the Journal of Journalism & Mass Communication Educator, the research analyzed 60 course syllabi from 15 universities and found significant variation in how institutions integrate AI into their curricula. This inconsistency creates confusion for students and fails to adequately prepare them for a professional landscape where AI adoption is accelerating. The analysis identified three primary approaches to AI in journalism education. The first views AI as a threat to learning and professional standards, particularly in writing classes where educators discourage its use to ensure students develop independent rhetorical skills. The second approach treats AI as a permissible tool under strict boundaries, often allowing its use for tasks like grammar checking while warning against hallucinations and bias. The third approach frames AI as a subject of ethical and professional inquiry, encouraging students to critically analyze its impact on the media industry. Samuel Muzhingi, a doctoral student and lead researcher, highlighted the practical problems caused by this scattershot methodology. He noted that it is common for different courses within the same university to adopt conflicting policies, leaving students uncertain about which rules to follow. This ambiguity is particularly problematic given that the journalism industry itself is still determining best practices for AI usage. While the variation reflects a field in transition, the authors argue that it undermines educational effectiveness. The study, co-authored by associate professor Alyssa Appelman, suggests that the current lack of standardized guidance is insufficient. As professionals grapple with new technologies, educational institutions must provide clearer frameworks to help students navigate them. The researchers emphasize that the goal should not be to simply ban or embrace AI, but to teach students how to engage with it critically, understanding both its capabilities and its limitations. The findings indicate a pressing need for more coherent policies, potentially guided by accrediting bodies such as the Association for Education in Journalism and Mass Communication. Muzhingi stressed that while educators may have reservations about specific tools, there is a responsibility to help students use them intentionally. As employers begin to ask about AI proficiency, students need clear expectations regarding appropriate usage from the start of their coursework. Future research by the team aims to explore how students respond to AI tools when given clear guidelines compared to those operating under ambiguous policies. Appelman reiterated that professors cannot assume students enter classrooms with a shared understanding of AI boundaries. To better serve future journalists, educational institutions must move beyond fragmented, course-by-course decisions and establish consistent, transparent standards that reflect the realities of modern media practice.