Universities Are Slower Than AI—Who Inside Can Close the Gap

The useful part

Listen to this post 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. Name the role, then find the people already doing it, and name them where others can hear it.

How it works

• 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...
• 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.
• One shared, visible place, open to faculty, staff and students alike, where builders say what they are working on before it is finished.
• Academia has always produced pioneers first and permission second, and I have watched the same pattern repeat on every continent I have worked.

What to take from it

That world is gone, and no policy closes the distance, because policy moves at the speed the institution already moves. Pinchot was writing about corporations, and the university version carries more weight now, because the distance they absorb is wider. What they need is a name for the role, a tool built for the problem in front of them and an institution willing to give support and then step out of the way.

Example or evidence

• Only people can close it, the ones willing to build inside the cycle while the cycle is still running its slow vote.
• It can only answer it through people already inside the building who build before the committee meets.
• A university that cannot produce people willing to build ahead of policy will lose to one that can, with or without AI in the room.
• Nobody volunteers for something with no name, and nobody keeps building something nobody has celebrated.

Details worth keeping

Skip to main content You're viewing the US website. The "university intrapreneur" is the key change agent. This is the first piece in a series I am calling The University Intrapreneur.

Related coverage

• Elearningindustry: Nearly every organization now uses AI, so adoption no longer tells companies apart.
• Inc: The future of AI leadership may be surprisingly human.
• Thepienews: As AI and technology reshape the skills employers need faster than education systems can adapt, schools must rethink what it means to prepare young people for the future, says Amalya Yeghoyan.
• Forbes: AI is changing work faster than many organizations can adapt. Adaptive curiosity helps people question expertise, redirect learning, and remain relevant.