The final product is dead as evidence of learning
When any essay can be generated with AI, assessment must migrate from product to process: reasoning, decisions, iterations and defence of knowledge.
July 20, 2026 · Xavi Pascual · 1 min read
For decades, the university has assessed learning through products: essays, reports, presentations, code. The premise was simple: the product was a reasonable proxy for the process that generated it.
Generative AI has broken that premise. The proxy no longer represents the process.
What AI cannot simulate in a sustained way
The answer is not to ban, nor to detect, nor to return to the paper exam. It is to redesign what we observe:
- Reasoning: not the answer, but the path.
- Decisions: what was discarded and why.
- Iterations: how the work evolves with feedback.
- Transfer: applying what was learned in a new context.
- Oral defence: sustaining knowledge without intermediaries.
- Metacognitive reflection: explaining what one has learned about oneself.
- Quality of AI use: as a competency, not as cheating.
From detection to design
AI detection tools fight a losing battle. Authentic assessment design wins the war without fighting it: when the evidence lies in the process, the question “did the AI do it?” loses relevance, because AI is a legitimate part of the process and learning is demonstrated elsewhere.
This transition — from product to process — is probably the greatest pedagogical redesign universities will face this decade. And it is an institutional architecture decision, not the work of one brave professor.
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