Universities aren’t slow because people inside them don’t care. They’re slow because they’re built to protect expertise, quality, and legitimate process, and that operating design makes fast change unusually hard. I walk through Henry Mintzberg’s idea of the professional bureaucracy and the trade-off it creates: higher education gets reliability and rigor, but it struggles when the world outside starts changing faster than our cycles of approval, coordination, and shared governance.

From there, I zoom out to what fast-learning organizations do differently. The point isn’t to copy startups or chase hype; it’s to understand how experimentation becomes part of daily operations and how results actually change decisions. We get specific about the failure mode universities know too well: pilot fatigue. When pilots aren’t tied to a decision to scale, fund, stop, or reallocate resources, the organization generates activity and data but doesn’t move. Over time, that drags down credibility, burns staff time, and spreads resources across initiatives that never fully land.

We also tackle a concept that often makes higher ed flinch: minimum viable products. I argue for an ethical, student-protective version of MVPs that helps institutions learn before committing at full scale. The real risk isn’t a small, scoped test; it’s making large irreversible bets without testing assumptions. If speed of organizational learning is becoming a competitive advantage in an AI-accelerated economy, the question is whether higher education builds the capacity to learn deliberately or keeps reacting after the fact. Subscribe, share this with a colleague, and leave a review with one place you think higher ed should run a small test next.