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University in the AI era

What changes in the university when producing answers is no longer the hard part. A reading that moves from institutional strategy (macro) to programme redesign (meso) and to what happens in each learning experience (micro).

Layers this area activates

Every educational transformation plays out in three layers at once. The layers are the same in any institution; their content and milestones change depending on whether it is a university, a school or a school network.

See the layers in:

macro

Strategy, governance and institutional model

Institutional strategy, governance, educational model and AI policy. What the rectorate and board decide.

Typical milestones

Strategic plan · institutional graduate profile · assessment framework · AI strategy · evidence system

meso

Curriculum, programmes and academic organisation

Faculties, degrees and curricula. Where the model is translated into coherent programmes.

Typical milestones

Degree redesign · graduate profile per programme · cross-department coordination · accreditation dossier

micro

Learning experiences, assessment and classroom

Courses, learning experiences and assessment with the student. What is lived every week.

Typical milestones

Course guide · challenges and projects · rubrics and evidence · feedback · AI use in class

● central layer · ○ secondary layer

Articles 7

Challenger universities: not every university of the future will be a transformed university

Some universities don't need to transform because they were born different. What challenger universities are, what defines them, and what a traditional university can learn from them.

August 1, 2026

Learning in the AI era: the series map

12 reflections on learning, human judgment and systemic transformation in the AI era. The complete index of the series.

July 27, 2026

University Learning Architecture: a framework for the AI era

Purpose → educational model → graduate profile → curriculum → experiences → assessment → evidence → impact. A macro–meso–micro framework to transform universities.

July 10, 2026

Series · 7

Substitutive AI or expansive AI

The difference lies in whether the experience reduces or expands understanding, judgment and transferable learning. The same tool can produce opposite educational effects.

June 15, 2026

Series · 6

AI agents: when execution is automated, judgment becomes central

As AI makes execution easier, educational value shifts towards intention, judgment, orchestration, feedback and evidence of learning.

June 8, 2026

Series · 5

When generative AI changed the scale

What used to require hours or days of work can now be generated in seconds. That new scale transforms what we observe, assess and value. The illusion of understanding is the great educational challenge.

June 1, 2026

Series · 4

AI in education did not start with ChatGPT

More than a decade of adaptive systems, learning analytics, recommendation, automated assessment and intelligent tutors. What changes with generative AI is the scale, the accessibility and the visibility of the debate.

May 25, 2026

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