Aswath Damodaran
Aswath Damodaran has spent four decades at NYU Stern developing the most influential contemporary framework for valuing companies under conditions of uncertainty. His methodological commitment — that every valuation is a story about the future translated into financial parameters, and that the discipline lies in making the translation explicit, testable, and revisable — extends Kindleberger's historical insights into the analytical practice of investment. His blog and books, including Narrative and Numbers and The Little Book of Valuation, have shaped how a generation of analysts, investors, and entrepreneurs think about pricing companies during periods of rapid change.
In the AI Story
Damodaran's engagement with the AI cycle began before most mainstream valuation analysts recognized its distinctive features. His 'big market delusion' framework, developed in 2020, anticipated the share-arithmetic problem that the AI market would exhibit. His 2024 'Beat Your Bot' essay, written after his colleague Vasant Dhar built DBOT — an AI trained on Damodaran's entire output — articulated the three dimensions along which humans and AI compete in valuation and the personal practices that build moats AI cannot breach.
His SaaSpocalypse analyses through late 2025 and early 2026 provided the analytical decomposition that the market's indiscriminate selling failed to perform. His Salesforce decomposition — estimating intrinsic value at approximately $200-250 billion against a post-correction market cap near $200 billion — exemplified the analytical work that distinguishes genuinely impaired companies from merely repriced ones. His Microsoft hold and Nvidia sale decisions, documented through his blog and public commentary, provided real-time demonstrations of how Kindleberger's distinctions translate into investment action.
The connection between Damodaran's work and Kindleberger's framework is deeper than topical overlap. Damodaran's insistence on 'useful imprecision' — the pursuit of answers less wrong than the alternatives, with explicit assumptions that can be revised — is the analytical practice that Kindleberger's historical framework requires in application. Damodaran provides the valuation methodology. Kindleberger provides the historical frame. Together they constitute the analytical toolkit adequate to the AI moment.
Origin
Damodaran earned his PhD at UCLA in 1983 and has taught at NYU Stern since 1986. His textbooks are used worldwide, and his YouTube valuation courses have been viewed by millions.
Key Ideas
Narrative-to-numbers bridge. Every valuation is a story translated into financial parameters.
Big market delusion. The share-arithmetic problem of multi-competitor markets priced as monopolies.
Useful imprecision. The pursuit of answers less wrong than the alternatives.
Moat hierarchy. The classification of competitive moats by which AI breaches and which AI strengthens.
Appears in the Orange Pill Cycle
Further reading
- Aswath Damodaran, Narrative and Numbers (2017)
- Aswath Damodaran, The Little Book of Valuation
- Aswath Damodaran, Investment Valuation
- Aswath Damodaran, 'Musings on Markets' (blog, ongoing)