---
title: "The AI-Native University Is Now in Hardcover on Amazon"
slug: "ai-native-university-hardcover-amazon"
date: "2026-11-05"
tag: "Application"
summary: "Mikel Amigot's The AI-Native University: Blueprint for the Institution of the Future is now a 289-page hardcover on Amazon (ISBN 979-8178153888), the same twenty chapters and seven appendices that are free to read, chapter by chapter, at ibl.ai/book/ai-native-university."
author: "ibl.ai"
linkedin: |
  The AI-Native University is now a hardcover you can hold.

  Mikel Amigot's book is on Amazon today: 289 pages, twenty chapters and seven appendices on what a university looks like when it is designed from the ground up on the assumption that AI exists. The learning model, the campus, research, governance, the AI operating system, and a 36-month roadmap for getting there.

  The whole text stays free online at ibl.ai/book/ai-native-university, chapter by chapter, with a PDF. The hardcover is for the desk, the board meeting and the colleague you want to hand it to.

  Its thesis is the same one we build on every day: adding AI to a university is like adding electricity to a factory built for steam. The institutions that win will own their AI the way they own their buildings. On ibl.ai you own all the code and the data.

  #iblai #AgenticAI #EnterpriseAI #HigherEducation #AINativeUniversity
---

**Mikel Amigot's *The AI-Native University: Blueprint for the Institution of the Future* is now a 289-page hardcover on Amazon, the same book that is free to read chapter by chapter at [ibl.ai/book/ai-native-university](/book/ai-native-university), and its blueprint rests on the platform where you own all the code and the data.**

<div style="display:flex; flex-wrap:wrap; gap:1.5rem; align-items:flex-start; margin:2rem 0;">
  <a href="https://www.amazon.com/dp/B0HPYT31BD" style="flex:0 0 200px;"><img src="/images/updates/ai-native-university-cover.webp" alt="Cover of The AI-Native University: Blueprint for the Institution of the Future by Mikel Amigot" width="400" height="518" loading="lazy" decoding="async" style="width:200px; height:auto; border-radius:8px; box-shadow:0 8px 30px rgba(0,0,0,0.15);" /></a>
  <div style="flex:1 1 18rem; min-width:0;">
    <p style="margin:0 0 0.75rem;"><strong>Hardcover on Amazon</strong> · 289 pages · ISBN 979-8178153888 · Memorare Press, First Edition, 2026</p>
    <p style="margin:0 0 0.75rem;"><a href="https://www.amazon.com/dp/B0HPYT31BD">Order the hardcover on Amazon</a></p>
    <p style="margin:0 0 0.75rem;"><a href="/book/ai-native-university">Read it free online</a>, chapter by chapter, or <a href="https://cms.iblnews.org/wp-content/uploads/2026/10/The-AI-Native-University-Classic-Version-2.pdf">download the PDF</a>.</p>
  </div>
</div>

## What is the book about?

An AI-native university is not a university that uses AI. It is an institution redesigned from the ground up on the assumption that artificial intelligence exists.

The book's premise is simple: adding AI to a university is like adding electricity to a factory built for steam power. The technology helps, but it does not redesign the system. An AI-native university starts from a different question: if we were designing a university today, knowing that AI exists, what would we build?

Twenty chapters and seven appendices answer that question for the learning model, the campus, research, governance and the AI operating system, and close with a 36-month roadmap for getting there. The Seven Principles of an AI-Native University, in chapter 3, are the part most readers quote back to us.

## Which edition should I read?

- **The hardcover**, for the desk and the board room: 289 pages, on [Amazon](https://www.amazon.com/dp/B0HPYT31BD).
- **The web edition**, free and complete, at [ibl.ai/book/ai-native-university](/book/ai-native-university): every chapter is its own page, readable and linkable, and every section is also served as markdown for AI agents.
- **The PDF**, the print layout, [free to download](https://cms.iblnews.org/wp-content/uploads/2026/10/The-AI-Native-University-Classic-Version-2.pdf).

The text is identical across all three. Nothing in the hardcover is held back from the free edition.

## Who wrote it?

[Mikel Amigot](/mikel) is the founder and CEO of ibl.ai, the family-owned sovereign AI company in New York whose platform runs for 1.6M+ users from 400+ organizations. *The AI-Native University* is the first title in a series from Memorare Press; *The AI-Native School*, *The AI-Native Enterprise* and *The AI-Native Hospital* are among those that follow.

The blueprint in the book is the one ibl.ai builds for its university partners: the full source code and all of the data, self-hosted or in your own cloud, running any model you choose, with no per-seat pricing. On ibl.ai you own all the code and the data.
