The design of the educational system was built to solve an obvious challenge of its time: the scarcity of knowledge.

Let us travel back a few centuries. Imagine living in a village somewhere in the UK. In such a setting, you would have had no books, no access to scientific expertise, and no information beyond what your village could provide.

Books were scarce; professors were scarce; access to knowledge or scientific expertise was scarce. Universities emerged as physical centers to gather, preserve, and transfer knowledge from one generation to another. If you wanted to study philosophy, medicine, or mathematics, you needed to travel to places such as Harvard, Oxford, Bologna, or Heidelberg. These institutions became the tangible infrastructures through which knowledge could be accessed.

Even today, this structure has changed very little. Buildings, lecture halls, and standardized curricula are still largely based on the assumption that information must be carefully transmitted in a specific physical location, from an expert to a student, within a defined period of time.

Education, at its core, was a system designed for scarcity. But the world that created this system no longer exists.

The internet disrupted this structure. Suddenly, information escaped physical locations. Research became digitized, expertise became searchable, and lectures from the world’s leading universities became accessible from remote locations across the globe. Yet universities themselves changed very little. Students still sit in classrooms to access information that is already available online, while memorization continues to dominate large parts of the evaluation system.

Artificial intelligence changes this structure even more profoundly. While the internet made information accessible, AI transforms how humans interact with knowledge itself. Humans are now confronted with tools capable of gathering, analyzing, summarizing, and generating explanations, solving problems, writing essays, analyzing data, and creating content.

This is not merely a technological shift. It is the beginning of a civilizational shift. The main assumption that humans must reproduce and transfer knowledge, collapses permanently.

I remember the first day of my university studies at the Technical University of Munich. During the opening speech, a professor asked us a question: “Why do universities exist?” After a few hesitant answers from students, he responded: “To transfer knowledge so that it is not lost.” At the time, the statement sounded almost self-evident, but AI fundamentally disrupts this logic.

We have already experienced a smaller version of this transition before. Previous generations insisted that students must learn manual calculations because “you will not always have a calculator in your pocket.” Today, almost everyone does.

AI represents a far larger transition. A complete humanity shift. So what is the educational system really preparing humans for?

The modern education system was largely designed for industrial-era societies. It prepared people for relatively stable professional identities within long-term institutional structures. A person could train for one profession, enter one company, and remain there for decades.

While working at BMW, I encountered many colleagues who were deeply proud of having spent their entire careers within the company. Some had started as apprentices in their teenage years and remained until retirement. There is something admirable about that level of loyalty and continuity. But the economic stability and predictability upon which the educational system was built belong to the past.

Technological cycles accelerate continuously and entire industries transform within years rather than generations. Skills become outdated more quickly, and careers evolve repeatedly throughout a lifetime. In such a world, adaptability matters more than static structures.

Younger generations intuitively understand this. Many no longer seek a single professional identity for life but focus more on movement, flexibility, and multidimensional lives.

Education systems, however, still largely optimize for standardization, creating a growing mismatch with the reality shaped by AI.

There is an ongoing debate about whether students should use AI to write essays or complete assignments, with concerns that AI may weaken critical thinking and originality.

But perhaps the deeper problem is not the existence of AI itself. Perhaps the real problem is that students are still being evaluated through tasks that AI can increasingly perform better, faster, and at far greater scale. The educational system continues to prioritize skills that younger generations may no longer perceive as valuable.

The issue becomes even deeper.

Historically, universities stood upon three interconnected pillars: information; knowledge; critical thinking. Information meant access to facts and data. Knowledge meant understanding developed through study and experience. Critical thinking meant the careful analysis and evaluation of ideas.

Today, this structure is increasingly destabilized. Information is universally accessible. Knowledge is increasingly generated and personalized through AI. Even forms of analytical reasoning once considered uniquely human are now increasingly performed by machines.

So what remains uniquely human? What is the core human capability that machines cannot replicate?

The future value of human being relies on a capacity that the machine cannot replicate. Human intuition, the capability to understand, know, feel something without conscious reasoning, evidence or facts. Human critical thinking is not the simple analytical processing of data, rather then its combination with intuition that derives from awareness, morality, emotion and life experience,

The purpose of education can no longer be merely the transfer of information to the student. That model belongs to a world where knowledge scarcity defined civilization.

Education must evolve to a human centered structure, where the human can develop its identity, creativity, adaptability, emotions and ethical orientation. The goes is not to compete AI intelligence,  but to become deeply more human in a world shaped by non-human intelligence. The future of education is not simply technological or structural but philosophical. For the first time in history the question is not: “What should we know/learn/memorize” but “What kind of humans should we become?”.