INFORMATION ARCHITECTURE IS THE FOUNDATION AI IS STARVING FOR

Summary from the TLDR Design newsletter

Poor information architecture, not weak models, drives AI hallucinations and wrong answers, since retrieval only surfaces the best-matched text, not the most accurate one. Unlike human users who tolerate ambiguity, AI systems reproduce mislabeled or unstructured content confidently and at scale, turning a once-invisible cost into measurable failures and financial liability, as seen in the Air Canada chatbot case. This cost is now trackable in retrieval accuracy and hallucination rates, so organizations should audit and fix their content structure before purchasing new AI models or tools.