Universities initially framed AI as a cheating problem: students using ChatGPT to write essays they should write themselves. But a more complex picture is emerging. Many students are not deliberately cheating — they genuinely cannot produce work without AI assistance because they never developed the skills to do so.
The skill gap beneath the surface
Students who have used AI throughout high school may arrive at university without basic capabilities: structuring an argument, synthesizing sources, writing a coherent paragraph from scratch. These are not students who choose AI over effort — they are students for whom AI has always been part of how work gets done. The line between tool use and dependency has blurred beyond recognition.
Rethinking integrity policies
Traditional academic integrity policies assume students can do the work and choose not to. AI dependency challenges this assumption. Punishing a student who cannot write without AI is different from punishing a student who can but chooses to shortcut. Institutions are beginning to recognize that some students need skill-building, not sanctions.
Moving forward
Some universities are introducing AI-free assessments — in-class writing, oral examinations, process portfolios — that reveal what students can actually do independently. These assessments are not about banning AI; they are about ensuring that students develop foundational capabilities alongside their AI skills.
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