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The Two-Minute Mile Problem
 A year ago I argued that as AI algorithms structure more and more decisions, “last mile” human judgment would become a luxury good available to those who could pay for concierge discernment. The 5-15% “last mile” space is what algorithms can’t capture, where fine tuned human judgement is needed.
The “last mile” in higher education has always been personalized attention, and its outcome in the AI era is systematic acceleration. Students trained to run a two-minute mile will soon be arriving in a system built for the four-minute mile. The entire U.S. undergraduate university structure, from the Carnegie Unit to the four-year degree, is calibrated for a steady, predictable pace. A student who can master content at twice the expected speed creates a structural challenge I call the “two-minute mile” or “fast mile” problem.
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