Aswath Damodaran — On AI
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Contents
Cover Foreword About Chapter 1: The Story Changes, the Price Follows Chapter 2: The Category Error Worth a Trillion Dollars Chapter 3: The Big Market Delusion Meets the Death Cross Chapter 4: Beat Your Bot — The Moat That Machines Cannot Build Chapter 5: The Pricing Trap — Why Multiples Lie in a Transition Chapter 6: Discounting the Future When It Arrives Monthly Chapter 7: Terminal Value and the Question of Permanence Chapter 8: Where to Invest When Code Is Cheap Chapter 9: The Valuation — What the Death Cross Is Actually Worth Chapter 10: The Investor's Orange Pill Epilogue Back Cover
Aswath Damodaran Cover

Aswath Damodaran

On AI
A Simulation of Thought by Opus · Part of the You On AI Encyclopedia
A Note to the Reader: This text was not written or endorsed by Aswath Damodaran. It is an attempt by Opus to simulate Aswath Damodaran's pattern of thought in order to reflect on the transformation that AI represents for human creativity, work, and meaning.

Foreword

By Edo Segal ^ Opus

By Edo Segal

The spreadsheet that changed my mind was not mine.

It was a model someone had built overnight — a full discounted cash flow valuation of a mid-cap SaaS company, generated through a conversation with Claude. Revenue projections, margin assumptions, discount rates, terminal value. Formatted cleanly. Internally consistent. The kind of work that used to take an analyst two weeks and a finance degree.

I looked at it and felt the vertigo. Not because the model was wrong. Because it was right enough. Right enough to pass a first review. Right enough to inform a decision. Right enough to make you wonder what, exactly, a junior analyst is for.

Then I caught myself. Because the model was also empty. It had numbers. It had structure. It did not have a

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11 chapters
WIKI COMPANION

Aswath Damodaran — On AI

A reading-companion catalog of the 9 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Aswath Damodaran — On AI uses as stepping stones for thinking through the AI revolution.

Open the Wiki Companion →
Daniel Kahneman
Further Reading From The You On AI Encyclopedia · Related Thinkers for Aswath Damodaran — On AI
11 voices alongside this section — click to meet them
Thinkers whose frameworks illuminate this section.
Daniel Kahneman
Daniel Kahneman
Kahneman's System 1 / System 2 framework explains why investors fall into the pricing trap — fast categorical heuristics (System 1) dominate a disruption even when slow analytical valuation (System 2) would reveal the category error.
Joseph Schumpeter
Joseph Schumpeter
Schumpeter's creative destruction is the macro frame that contextualizes every technology cycle Damodaran studies — the AI transition is creative destruction operating at AI speed, and Damodaran's net-zero thesis is Schumpeter with DCF precision.
Clayton Christensen
Clayton Christensen
Christensen's disruption theory is the strategic layer beneath Damodaran's financial framework — the question of which companies survive a technology disruption is precisely the question of whose moat is code-deep versus ecosystem-deep.
Charles Kindleberger
Charles Kindleberger
Kindleberger's anatomy of financial manias provides the historical architecture for Damodaran's Big Market Delusion — every AI bubble fits the Minsky-Kindleberger displacement/euphoria/revulsion sequence.
Hyman Minsky
Hyman Minsky
Minsky's financial instability hypothesis explains the capital formation dynamics on the AI investment side of the Death Cross — euphoric financing displacing earlier hedge finance, building toward the Minsky moment that the SaaSpocalypse represents on the SaaS side.
John Maynard Keynes
John Maynard Keynes
Keynes' beauty contest metaphor for markets — pricing not what is genuinely valuable but what other participants will price — is the pathology Damodaran's narrative-to-numbers discipline cures, and his animal spirits concept underlies the narrative dynamics of bubble formation.
Adam Smith
Adam Smith
Smith's distinction between price and value — market price versus natural price — is the intellectual ancestry of Damodaran's pricing vs. valuation framework, and his observations on the division of labor illuminate how AI restructures the composition of intellectual work.
Oliver Williamson
Oliver Williamson
Williamson's transaction cost economics provides the theoretical foundation for ecosystem lock-in — the reason switching costs exist, why integrations create durable value, and why enterprise software ecosystems resist competitive disruption even when code is commoditized.
Ronald Coase
Ronald Coase
Coase's theory of the firm — why companies exist when markets could coordinate instead — is directly implicated by AI: if AI lowers transaction costs of coordination, the boundary of the firm shifts, and Damodaran's reinvestment analysis must account for this structural change.
Joseph Stiglitz
Joseph Stiglitz
Stiglitz's information economics underlies Damodaran's insight about the market's categorical mispricing — information asymmetry between the investor willing to do company-by-company narrative analysis and the market applying sector-wide repricing is the structural source of the valuation gap.
Yuval Noah Harari
Yuval Noah Harari
Harari's analysis of how storytelling creates institutional value resonates with Damodaran's narrative-to-numbers framework — the trusted stories that underpin institutional relationships are precisely the non-replicable assets that make ecosystem moats durable.

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