If AI Has the Answers, What Are We Even Teaching?

It’s time to ask better questions

Here’s the thing: I don’t ask the same questions in class anymore. Why? Because my students don’t need me to. They’re armed with AI—LLMs like ChatGPT that can churn out answers faster than I can sip my coffee. Definitions? Done. Frameworks? Summarized. Complex theories? Served up on a digital platter.

If your teaching game still revolves around memorization, you’re not just behind the curve—you’re standing in the wrong stadium. The information race is over. AI won. But here’s the twist: this isn’t the end of education. It’s just the beginning of something better.

I’ve shifted gears. Instead of testing what students can memorize, I focus on how they think. I want them to argue with ideas, poke holes in assumptions, and wrestle with real-world problems. I’m not grading them on who can recite the definition of “market segmentation.” I’m interested in who can challenge why that segmentation matters in today’s economy—or if it even does.

In my classes, AI isn’t a shortcut; it’s a launchpad. Students use it to dig deeper, but the real work happens when they bring that knowledge into discussions, debates, and projects. I’m not here to be a gatekeeper of facts—I’m here to push them to think beyond the obvious.

And guess what? It’s working. Students are more engaged, more curious, and more prepared to tackle complex challenges. They’re not just learning—they’re thinking. And that’s the point.

So no, I don’t miss the old questions. Because in the AI era, the real question isn’t what you know—it’s what you do with it.