The Formers

What Happens When the Point Was Never the Information

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The Contract Nobody Read

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Margaret’s grandson, whose name is Eli and who is studying economics but actually wants to study music and has not yet said this to anyone, showed her an email at Sunday dinner in September. He was laughing, but not happily. The email was from his university: twelve paragraphs on academic integrity in the age of AI, explaining that submitted work must be “entirely the student’s own,” that AI tools are prohibited for any graded assignment, and that violations will be treated as plagiarism.

“They want me to write like it’s 1995,” he said. “Then I’ll graduate and every job will expect me to use AI constantly.”

He wasn’t wrong. The university was defending something. But it had not, Margaret noticed, said what.

She thought about why Eli was there at all. Not why the university admitted him. Why he went. He went, she suspected, for the same reason she went fifty years ago and the same reason people have always gone: to find out who they are. To be somewhere that takes the question seriously. To encounter people and ideas and difficulties that would make him someone different than he was when he arrived. The degree was a side effect, the credential a signal of having passed through. The going was the point.

The university never said this out loud. The brochure said something about “academic excellence” and “preparing students for careers.” The social contract was implied, not written. But it was real. You come here to become someone. We will help you become someone. That is the deal.

The AI ban email was not a defense of that deal. It was a defense of the institution’s ability to continue grading essays.

What the Bundle Was

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Higher education has always been several things at once, held together not by design but by historical accident. Knowledge transmission: the lectures, the readings, the professor explaining what the field knows. Credentialing: the degree as signal to employers that this person completed something difficult. Coming of age: four years between adolescence and adulthood, away from home, making the errors that form a person. Social sorting: who you meet determines your network, your partner, your class position for the rest of your life. And something harder to name: the development of judgment, the capacity to think well, the formation of a mind that can enter a discipline and become a practitioner of it.

Nobody came for the lectures. They came for the rest of it. The lectures were how you got access to the rest, because everything was bundled and you could not unbundle it. You couldn’t get the credential without sitting through the lectures. You couldn’t access the social network without being physically present. You couldn’t become a historian without years in proximity to historians. The knowledge transmission was the gate that opened onto the formation, and because it was the gate, institutions built elaborate systems for defending the gate, and eventually forgot that the gate was not the destination.

AI pulls the bundle apart.

Knowledge transmission? AI does this better than lectures ever did. It is patient, available at 2 AM, adapts to the learner’s pace, never gets frustrated, never has an off day. If transmission were the point, universities would already be obsolete.

Credentialing? Employers are increasingly skeptical of what the degree signals. When the knowledge component of every field is freely available through AI, what does having absorbed a curriculum demonstrate about what someone can do?

Coming of age, social sorting, formation? These still require presence, peers, time. AI cannot provide them. The bundle is not equally vulnerable across its components. The question is which part the institution believes it is selling, and which part it is actually providing, and whether those are the same thing.

The Betrayal

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Return to Eli’s email.

The stated reason for the prohibition is academic integrity: the student must demonstrate they understood the material. But understood it for what purpose? If Eli will use AI in every job he holds, what does “understood without AI” demonstrate that matters?

The unstated reason is assessment. Universities know how to test content knowledge. They know how to grade essays that show a student read the readings. They do not know how to test judgment. They do not know how to assess whether someone can tell when AI output is good or garbage, whether a student has become a thinker or merely a completer of assignments.

So they ban the thing that makes content knowledge less valuable, in order to keep testing what they know how to test.

This is a betrayal of the social contract, not just a strategic mistake. The student arrived under an implicit agreement: you come here to become someone, and we will provide the conditions in which becoming is possible. The institution is now defending its ability to assess whether students can produce unaided essays, which was never what anyone came for, and abandoning the formation work that was the actual promise.

The honest policy would say something harder: AI handles content, so we are now explicitly in the business of developing judgment, and here is how we will do that, and here is how we will know whether it worked. No university has written that policy. Most have not figured out what it would mean. Figuring it out would require admitting what the institution is actually for, which would require confronting how far most institutions have drifted from it.

Information and Formation

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The distinction is the one the institution keeps collapsing.

Information is content that can be written down, stored, transmitted, retrieved. Facts, theories, methods, data. AI handles information. Every lecture ever given, every textbook ever written, every paper ever published is information. AI has it, organizes it, explains it, adapts it to the learner. If information transfer were the point of higher education, we would no longer need professors. That conclusion follows from the premise. Universities resist the conclusion but have not examined the premise.

Formation is becoming a certain kind of person. Developing judgment. Learning not just what the field knows but how the field thinks. Acquiring a way of being in relation to knowledge, not just the knowledge itself.

Here is the deeper claim, the one the transformation narrative never gets to: knowledge without the capacity to pursue it is not really knowledge. It is information holding. A person who can recite the history of economic thought but cannot ask an economic question, cannot recognize when an economic argument is inadequate, cannot judge when AI’s economic reasoning is wrong, does not know economics. They have been informed about it. The pursuit of knowledge, the learned capacity to move through a field, to interrogate it, to extend it, is what education was always trying to produce. Strip that away and what remains is a database that happens to breathe.

This is why the AI ban is not only a strategic error but a philosophical one. It defends the shell after the substance has been named. The substance was always the formation. You can be informed about philosophy. You cannot be formed as a philosopher by information alone.

The philosopher is not someone who knows philosophical facts. The philosopher is someone who has learned to ask philosophical questions, to recognize philosophical problems in places where non-philosophers see nothing puzzling, to move through the world with a philosopher’s sensibility. This is not transmitted. It is absorbed. It requires proximity to someone who already is what you are trying to become.

Margaret remembers this. Fifty years ago, a professor whose name she still says with a certain tone. Not because he taught her facts she still carries. Because he showed her what it looked like when someone cared about ideas. The way he paused when a student said something unexpected. The way he admitted when he didn’t know. The way he held a question open instead of rushing to close it. She did not understand then that she was being formed. She understands now.

What Formers Actually Do

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If formation is the point, we need a clearer account of what formers do, because the current description of a professor’s job does not include most of it.

Enculturation into a discipline is the first and least visible thing. The student learning history is not only accumulating historical knowledge. They are learning how historians think, what questions historians ask, what counts as evidence, how to enter a conversation that has been going on for centuries, how to recognize when a historical argument is weak before they can articulate why. This cannot be transmitted. It is absorbed through proximity to historians who are doing history, who embody the discipline in their questions and their skepticism and their attention.

Judgment modeling is different from instruction. The professor who works through a problem in real time, visible to students, not with the polished lecture where everything is already solved but with the live struggle, the wrong turn corrected, the admission “I’m not sure about this, let me think.” The visible exercise of judgment, including the moment when judgment fails and recovers. AI can provide correct answers. It cannot model the process of reaching judgment, because judgment is what happens when you do not yet know the answer and have to navigate toward one.

Standards enforcement is not grading. It is something more personal. The moment when a professor says, “This isn’t good enough for you.” Not good enough in general. Good enough for you, specifically. The professor who knows this student can do better and refuses to let them settle. The standard is not abstract. It is embodied in someone who holds it, who sees you, who will not let you hide from what you are capable of.

Intellectual companionship is the office hour that changes a life. Most office hours are transactional. But sometimes something else happens: the professor takes a half-formed idea seriously, helps the student see what it could become, treats them as a thinking person rather than a performance to be evaluated. The professor who mentors is betting on a future they may never see. AI cannot do this because AI has no stake in the student’s becoming.

I have been trying to avoid the word “presence” because it has become a gesture toward something rather than a description of it. But the alternatives keep circling back. What formers provide is not a technique or a service. It is proximity to someone who is themselves still being formed, still working, still uncertain in the productive ways that formation requires. The student absorbs from that proximity something that has no name in a university catalog.

The Research University’s Structural Problem

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Current professor training is a PhD in a discipline. Deep content knowledge. Research capability. Some teaching assistant experience, typically treated as a burden rather than a skill to develop. The system hires based on research, then expects formation to happen as a side effect.

Sometimes it does. Often it doesn’t. The formation that occurs is accidental, dependent on individual temperament rather than institutional design. The researcher who happens to be a gifted former is a fortunate coincidence, not a result of how the institution selects or trains its faculty.

What if they were actually different jobs? Researchers research. Formers form. Different hiring criteria. Different training. Different measures of success. This unbundling is uncomfortable for institutions that have organized themselves around the research-professor as the fundamental unit. It would require admitting that the skills required to advance a field and the skills required to form minds in that field do not reliably coincide, and that the institution has been systematically neglecting the second in favor of the first.

Or perhaps formation requires active practitioners rather than professional formers. The historian who is actively doing history brings students into that practice. The formation happens through proximity to mastery, not through teaching technique. This is the apprenticeship model. It is very old. It may be what survives when the rest of the bundle has been distributed to AI.

What Persists

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The university that survives will be the one that names formation as its core work, makes the contract explicit, and builds around keeping it. Not the one that bans AI to protect its assessment practices.

The former is not defined by what they know. They are defined by what they develop in others: judgment, enculturation, the capacity to enter a discipline and become a practitioner of it, the ability to ask the question before the hypothesis, to recognize when an answer is wrong, to stay with uncertainty without freezing. These are not skills adjacent to the knowledge. They are what makes the knowledge real.

This cannot be automated because it is not information. It is proximity to someone who already is what you are trying to become. It is relationship that has stakes. It is presence that demands response.

Eli will graduate. He will use AI constantly in his work, as he already knows he will. The question is whether the four years produced judgment or just credentials. Whether someone formed him or merely informed him. Whether he knows what question to ask AI, and whether he can tell when the answer is wrong. Whether he eventually tells someone he wants to study music, and whether anyone along the way created the conditions in which that admission was possible.

That last one is not incidental. It is the whole thing. The student who can name what they want, who has been given the space to find it, who has become someone in the four years rather than accumulated something, has received what the institution promised. The student who leaves with a transcript but not a self has been informed but not formed.

Most universities are producing the second kind. The contract says they owe the first.

This is the sixteenth essay in The Transformed and the second in Arc 3, “The Stubborn Craft.” Where The Shapers examined K-12 teaching as developmental relationship, this essay examines higher education, arguing that the university’s actual work was always formation, not information transfer. AI makes the distinction visible by handling information so well that what remains is either recognized and protected or quietly discarded. Future essays will examine healthcare, law, and art before the capstone names what the resistant professions share.

References

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Philosophy of Education

Dewey, John. Democracy and Education. Macmillan, 1916.

Oakeshott, Michael. “The Idea of a University.” The Voice of Liberal Learning, Yale University Press, 1989, pp. 95-111.

Tacit Knowledge and Formation

Dreyfus, Hubert L., and Stuart E. Dreyfus. Mind Over Machine. Free Press, 1986.

Polanyi, Michael. The Tacit Dimension. University of Chicago Press, 1966.

The University as Institution

Deresiewicz, William. Excellent Sheep: The Miseducation of the American Elite. Free Press, 2014.

Readings, Bill. The University in Ruins. Harvard University Press, 1996.

Mentorship and Development

Daloz, Laurent A. Mentor: Guiding the Journey of Adult Learners. Jossey-Bass, 1999.

Kram, Kathy E. Mentoring at Work: Developmental Relationships in Organizational Life. Scott, Foresman, 1985.

Apprenticeship and Enculturation

Collins, Allan, John Seely Brown, and Ann Holum. “Cognitive Apprenticeship: Making Thinking Visible.” American Educator, vol. 15, no. 3, 1991, pp. 6-11.

Lave, Jean, and Etienne Wenger. Situated Learning: Legitimate Peripheral Participation. Cambridge University Press, 1991.