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.
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.
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.
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.
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.
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.
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 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…
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.