The boos at recent graduation ceremonies were not really about AI. When students jeered commencement speakers for praising artificial intelligence, the easy explanation was fear: fear of automation, cheating scandals, surveillance, or a labor market shifting before they had even received their diplomas. But the reaction suggested something deeper. AI had become the visible symbol of an older institutional failure: the slow conversion of learning into output.
For decades, education has been reorganized around speed, credentialing, assessment, optimization, and market alignment. The habits that make intelligence possible — dwelling with ambiguity, following a question sideways, revising assumptions, evaluating sources, noticing contradiction — have been made to look inefficient. Curiosity has been tolerated as long as it produces deliverables. Wonder has been permitted only when it can be converted into performance.
AI did not create that condition. It revealed it.
Organizations are now making the same mistake. Across industries, AI is being adopted as if intelligence were the faster production of answers. Summaries appear instantly. Reports draft themselves. Synthetic consumers speak in tidy paragraphs. Scenarios multiply. Decks become easier to produce. Strategy begins to sound more fluent than it actually is.
The danger is not that AI will make organizations stupid. The danger is that it will allow organizations to stop being curious while still appearing intelligent.
