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.
The category error names the specific analytical failure that produced the SaaSpocalypse opportunity. The market correctly recognized that AI had structurally weakened the difficulty-of-building moat that protected software company valuations. It then applied this recognition uniformly across the SaaS sector, repricing every company as though the code-devaluation narrative captured its entire value structure. The error: this narrative captures the entire value structure of code-dependent companies but only a minority fraction of the value structure of ecosystem-dependent companies. Treating them identically generates a uniform discount that is approximately right in aggregate (the Net Zero Thesis) and dramatically wrong company-by-company. The aggregate trillion-dollar repricing concealed enormous dispersion: code companies may still be overvalued; ecosystem companies are substantially undervalued; the difference is the alpha available to the analyst who can decompose the category.
In The You On AI Field Guide
Category errors of this type are the historical pattern in technology corrections. The dot-com bust repriced