After AI provides the optimal solution, what else can be taught in a university economics class?

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In many university economics and business school classrooms, a new anxiety is emerging.

Traditional economics trains students to solve “optimal solution” problems. Students learn how to find optimal consumption, investment, pricing, and strategies. In case studies, they are asked to calculate return on investment, market share, cost curves, and then make the most rational decisions based on these.

But today, an unsettling fact is becoming increasingly clear: in these areas, artificial intelligence often does it faster and better.

If machines can always compute the optimal solution, what do we need to learn in school?

This issue seems like a technical problem, but it is actually an educational problem.

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