Multiple Anchoring

In the AI Story

The pathology is reinforced by the data infrastructure of modern investing. Every Bloomberg terminal, every data provider, every analyst report displays current multiples alongside historical multiples and sector medians. The visual presentation invites comparison; the comparison invites the inference that deviation equals opportunity. The inference works during stable narrative periods, when the historical multiple captures persistent assumptions. It fails during narrative transitions, when those assumptions have changed.

The cognitive science of anchoring — Tversky and Kahneman's foundational work on how initial values bias subsequent estimates — explains why the pathology is so persistent. Once an investor has the historical multiple as a reference point, every subsequent assessment of the stock is anchored to that reference. The harder analytical work — building valuation from narrative up — requires actively setting the anchor aside, and most investors do not.

The SaaSpocalypse provides a textbook case. The pre-correction median SaaS multiple of approximately twelve times revenue encoded a specific narrative: software is hard to build, scarcity creates pricing power, pricing power creates margins, and margins justify the multiple. When the narrative broke — when AI made building easy and scarcity collapsed — the multiple should have reset to reflect the new reality. The post-correction multiple of six to eight times revenue is not a deviation from normalcy; it is the new normal under the new narrative. Multiple anchoring leads investors to misread the reset as an opportunity when it is actually a recalibration.

The corrective discipline is to refuse multiple anchoring as a starting point and to begin every valuation with narrative construction. What is this company's story under the new competitive environment? What growth, margin, risk, and terminal-value assumptions does the story imply? What intrinsic value do those assumptions produce? Only then is comparison to the market price meaningful, because only then has the analyst tested the narrative against the numbers rather than substituted the multiple for the analysis.

Origin

Damodaran has written about multiple anchoring across decades of blog posts and across multiple editions of his valuation textbooks. The concept draws on Tversky and Kahneman's 1974 demonstration of the anchoring effect and on Robert Shiller's work on narrative economics.

Key Ideas

Multiples encode narratives implicitly. Historical multiples reflect historical narratives; the comparison is meaningful only if the narrative is unchanged.

Narrative reversion is a specific bet. Buying on multiple compression assumes the old narrative will reassert itself, which is unsupported during structural transitions.

The anchor is hard to dislodge. Cognitive anchoring biases ensure that even analysts who know the pathology often fall into it.

The corrective is procedural. Start every valuation with narrative construction; compare to price only after building intrinsic value from the assumptions up.