If knowledge isn’t a differentiator anymore, what is?
With the rapid evolution of AI, how should higher education institutions adapt to stay relevant in a landscape where knowledge transfer is no longer a marketable differentiator?
I’ll start with a hot take. 🔥
AI is getting a lot of heat for “replacing knowledge transfer.” But if we’re honest, many university lectures barely qualified as knowledge transfer to begin with.
Students (maybe) read a few chapters. They demand lecture slides instead of taking notes. They cram, regurgitate, forget.
AI now makes this entire process possible without the tuition exchange. So yes — fair question, dear reader. How do institutions stay relevant?
Here’s how, AI or not.
Knowledge transfer is not the same as learning.
A 2025 study on learning with LLMs found that the mental effort of gathering and synthesizing information is what actually leads to understanding.
When AI does that work for you, you may be able to repeat something — but it doesn’t stick. It doesn’t move into long-term memory. New knowledge can’t be built on it.
The study also found that people who “learn” this way struggle to explain what they learned in depth. So, do they really “know” it?
(I wrote about this when I worked at Ologie: How I don’t use AI as a strategist.)
Market how the learning happens.
So, to stay relevant, you don’t just market the knowledge transfer. You market how the learning actually happens.
This isn’t new. I’ve been hearing versions of these questions from prospective students and families for over a decade:
What is the classroom environment like? How am I graded? Are tests multiple choice or short answer? Is there project work? Can I get hands-on experience? Will my internship give me credit? Is there a thesis?
But, we don’t answer them clearly or often enough.
The best-in-class example of this kind of content is Loughborough University. Scroll down a bit to how you’ll study and how you’ll be assessed and copy them.
Story time from the hardest I’ve ever learned.
I went to university at the Hochschule Furtwangen in Germany. There was no attendance tracking. No homework. No quizzes. No midterms.
Each course had one fully comprehensive exam at the end of the semester — entirely open-ended. And to graduate, we had to pass an oral exam where the topic was chosen at random from any course, any year.
Let me tell you: nothing other than actual learning was an option in that structure. 😅Even with the best AI tools in the world, there was no shortcut through it.
One more way to stand out: Talk about AI directly.
Talk about how your institution is incorporating AI into the curriculum and into your processes.
How are professors using AI in their courses?
How are students taught to use AI ethically and effectively in their disciplines?
How does AI improve course registration or academic advising?
How does it translate confusing financial language into something families can actually understand?
AI taking over knowledge transfer isn’t the threat.
The real threat is refusing to integrate AI into learning and the experience.
Across industries, AI is reminding us that the value isn’t just in the outcome. It’s in the process. Higher ed is no different. Show your process, friends.
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