The Case for Point of View

AI solves. Humans decide.

Problem solving is becoming automated. Slowly at first, then all at once.

AI already does what we used to call analysis. It reads the data, models the outcomes, and runs the trade offs. In a few years, most of the case studies we still teach will be solved with a single prompt. The game has changed, but the rulebook has not.

So what is left for us humans?

Point of view.

Not the kind that says everyone gets to have one, but the kind that comes from living through uncertainty. Making calls with partial facts and then owning the consequences. Building judgment through experience, not through perfect answers. I call it the “human stuff” in my courses.

But walk into most business schools today and you still see the same playbook: frameworks, templates, and clean slides pretending to teach a messy world. We keep grooming analysts when what the world really needs are deciders. People who can think in the fog, not just tick the right box.

I see this every week. My students are smart, but they have been trained to look for the correct answer, the one that pleases the professor and fits the framework. It takes weeks (if not a whole semester, as I’m doing right now in a MSc Strategic Thinking course) to undo that reflex and build something more valuable: the courage to trust their own thinking.

A few weeks ago, one of my students, let’s call her Sofia, stopped a class cold with one question: “If AI influencers perform better than human ones, why shouldn’t brands use them?” Half the room said it was manipulative. The other half said it was just evolution. There was no model to fix it. They had to navigate ethics, economics, creativity, and authenticity all at once. It was not about being right anymore. It was about standing for something. And some of them did a admirable job.

That moment stayed with me. It reminded me why I teach. I want students to feel the tension, the doubt, the pressure of real choice. That is where real learning happens.

So I’ve been redesigning my courses around that. Projects where no single answer works. Where trade offs have consequences. Where uncertainty is part of the job. Where students must decide, and live with it.

Because, as I remind them almost daily; that is the real skill. AI will soon handle the problem solving. The rest, the judgment and conviction, that still belongs to us. For now.