Aswath Damodaran — On AI — Wiki Companion
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.

This page lists every Orange Pill Wiki entry hyperlinked from Aswath Damodaran — On AI. 9 entries total. Each is a deeper-dive on a person, concept, work, event, or technology that the book treats as a stepping stone for thinking through the AI revolution. Click any card to open the entry; in each entry, words colored in orange link to other Orange Pill Wiki entries, while orange-underlined words with the Wikipedia mark link to Wikipedia.

Concept (8)
Code vs. Ecosystem Value
Concept

Code vs. Ecosystem Value

The decomposition that determines whether a software company is mispriced after the SaaSpocalypse: separating the value derived from code that AI can replicate from the value derived from ecosystems that AI cannot.

Multiple Anchoring
Concept

Multiple Anchoring

The investor pathology of valuing companies by comparing current multiples to historical multiples — treating the historical multiple as a law of nature rather than the artifact of a narrative that may no longer apply.

Network Hubs
Concept

Network Hubs

Nodes with disproportionately many connections, whose presence defines the topology of any scale-free network. In creative networks, hubs are the Dylans, the Google searches, the frontier AI platforms.

Reinvestment Composition
Concept

Reinvestment Composition

Damodaran's principle that the composition of corporate reinvestment matters more than the total — and that AI has changed which categories of reinvestment generate returns above the cost of capital.

Salesforce Ecosystem Decomposition
Concept

Salesforce Ecosystem Decomposition

The worked example at the heart of Damodaran's SaaSpocalypse analysis: a sum-of-parts valuation that estimates Salesforce's intrinsic value at approximately $200-250 billion against a post-correction market cap near $200 billion.

The Big Market Delusion
Concept

The Big Market Delusion

Damodaran's 2020 formalization of the recurring pattern by which a perceived large addressable market attracts more capital than the market can support — every entrant assuming dominant share, the implied total exceeding one hundred percen…

The Category Error Worth a Trillion Dollars
Concept

The Category Error Worth a Trillion Dollars

The market's failure during the SaaSpocalypse to distinguish between companies whose value derives from code (threatened) and companies whose value derives from ecosystems (durable) — a uniform repricing across heterogeneous moat structures…

Useful Imprecision
Concept

Useful Imprecision

Damodaran's standard for valuation under genuine uncertainty: not the pursuit of the right answer but of an answer less wrong than the alternatives, with explicit assumptions that can be revised as evidence accumulates.

Event (1)
The DBOT Test
Event

The DBOT Test

The 2024 NYU experiment in which Vasant Dhar built an AI trained on Damodaran's entire output — a bot that imitated his voice but failed to replicate his judgment, becoming the empirical demonstration of where the AI moat actually sits.

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9 entries