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Key Takeaways Universities are moving too slowly for the pace of AI-driven change. Traditional approval and hiring processes can take months or years, while workforce demand for AI skills is shifting within a single academic year.
The “university intrapreneur” is the key change agent. This could be faculty, staff, administrators or students who identify problems and build solutions from within the institution — often before formal policies or funding exist.
Name the role, then find the people already doing it, and name them where others can hear it. Build the channel before building the lab, and put money behind experimentation, not just permission.
This is the first piece in a series I am calling The University Intrapreneur. I have spent 20 years inside innovation programs at companies and universities on six continents, and I have watched the same failure happen every time an institution waited for permission it was never going to get.
AI is disrupting education. Most institutions have not caught up, and I put the reason down to arithmetic. A new degree program can take up to 18 months to move from proposal to approval, and a tenure-track faculty search runs 9 to 12 months from posting to a start date. Those timelines protect quality, and they were built for a world where the job a graduate walked into looked the same at the end of the process as at the start.
That world is gone, and no policy closes the distance, because policy moves at the speed the institution already moves. Only people can close it, the ones willing to build inside the cycle while the cycle is still running its slow vote.
Who drives innovation inside a university?
The university intrapreneur can be anybody. The role usually lands on a mid-level faculty or staff member who found a real problem and built a working answer on borrowed time, but it carries no fixed title and no fixed department. The org chart does not account for that person, the budget has no line for the work, and the institution’s ability to change depends on them anyway.
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