Let's Assume I Agree: Why the College Degree Still Matters in the Age of AI and Certifications

Stanley O. Zebulon, Director of Student Success through LEADERSHIP (SSL), University of Illinois Springfield

Let’s say I agree with the buzz. That knowledge is now free, floating around in the digital air like pollen, thanks to AI tools and non-traditional certifications. That you can learn to code on YouTube,  become a data analyst via a six-month bootcamp, or even create AI-powered apps without ever  setting foot on a college campus. Fine, let’s agree.

Let’s assume the new way works. People are landing jobs with Coursera badges. Others are self-taught geniuses building businesses from a laptop in their bedroom. AI now explains quantum physics like it’s a cooking recipe. So, maybe a college degree begins to feel unnecessary.

But here’s the thing: remove the buzzwords, and you’ll realize something important. Is all this knowledge flooding the internet? The very AI tools you praise? Are the platforms giving you access to these new certifications? They were all built on the backs of people who did go to college.

The Source Still Matters

It’s strange how quickly we forget where things come from. We celebrate the fruit but dismiss the tree. AI models didn’t just appear out of thin air. They were born from decades of hard academic work, research papers, experiments, peer reviews, failures and breakthroughs. People sat through lectures, wrestled with complex theories and earned degrees to reach those insights. Even that crash course in “machine learning for beginners”? It exists because someone, somewhere, spent ten years studying the real thing.

“AI models didn’t just appear out of thin air. They were born from decades of hard academic work research papers, experiments, peer reviews, failures, and breakthroughs.”

So yes, AI can teach you how to code, speak Spanish, or build a chatbot. But the content it’s using was written, reviewed, and proven by people who took the long road. People who took the long road, spent years in classrooms, and read 500-page textbooks learning how to question things deeply, not just mimic answers.

Repurposing Doesn’t Replace Origin

Let’s use a simple analogy. Imagine someone gives you a meal, already cooked and plated. It’s delicious. You eat it, you share it, and you even start serving it to others. But after a while, you forget, or worse, claim that the chef doesn’t matter. That the ingredients were just there, and anyone can cook now.

That’s how some people treat education today. As if the existence of repackaged knowledge means the origin no longer matters. But without the chef, without the knowledge builders, there is no meal.  AI doesn’t create it learns from something. Certifications don’t invent them.

The Value You Don’t See

A college degree isn’t just about what you learn it’s about how you learn. It forces you to think long term, to commit, to struggle through hard ideas. It teaches you how to find answers when there’s no shortcut video available. It puts you in a room with people who challenge your thinking, not just algorithms that agree.

Beyond all that, a degree signals something deeper: that you stayed the course. That you built foundation not just skills, but habits of mind that AI can’t replicate.

You don’t just leave college with knowledge. You leave with a trained way of thinking.

Final Thought

So, let’s say I agree. AI and certifications are here to stay. They’re great, useful and even transformative.

But let’s not get carried away. The platform may be new and transformative, and as you might guess, I used it to make this article sound great, but the pillar that holds up the college-educated mind is very much alive and relevant. Because when the surface changes, it’s tempting to think the roots no longer matter. But cut off the roots and see how long the tree lasts.

AI

Machine Learning