Death of the Average Product
The average product is the product that market research optimizes for — the median preference, the most common use case, the feature set that satisfies the largest number of customers at an acceptable level without delighting any of them. The general-purpose CRM. The all-in-one project management tool. For two centuries, industrial production favored the average product because customization cost exceeded compromise cost. The language interface inverts that economics. When building a tool for a single person costs the price of a conversation, the economics of customization invert, the customer stops compromising, and the average product — which was always a compromise — has no economic reason to exist.
In the AI Story
The death is visible in the bimodal market structure that the Software Death Cross produced. The thick platforms serving complex multi-stakeholder needs retain pricing power. The infinite tail of personal software serves specific individual needs. The middle — the average products serving average markets — is squeezed from both directions: too simple to justify their price against AI alternatives, too generic to compete with the specificity of personal software.
Every previous long-tail market followed the same pattern. Amazon killed the average bookstore. Netflix killed the average video store. Spotify killed the average radio station. The AI moment completes the pattern by killing the average product itself — not just the distribution channel that sold average products but the products' economic viability.
The cultural consequence runs deeper than the market one. The average product trained its users to think in categories defined by the product — Salesforce's stages, Jira's sprints, Slack's channels. Personal software trains its creator to think in categories she defines herself. This is a shift in cognitive sovereignty — what Segal calls ascending friction from implementation to architecture, from adapting to categorizing.
The user is no longer a consumer of someone else's organizational system. She is the architect of her own. And architecture, as every builder knows, is harder than construction.
Origin
The concept synthesizes Anderson's long-tail bimodal-market observation with Segal's Software Death Cross analysis. The empirical evidence is the trillion-dollar repricing of mid-market SaaS companies in early 2026 — Workday, Adobe, Figma — each having built businesses on the assumption that the average product would remain the market's center of gravity.
Key Ideas
The middle collapses. Bimodal markets have no middle; the average product is the middle.
Customization inverts compromise. When building costs nothing, the economics that favored compromise disappear.
Cognitive sovereignty. The shift from adapting to external categories to creating personal ones is a transfer of organizational authority from producer to user.
Architecture beats construction. The friction of deciding what to build replaces the friction of building — a harder kind of work, performed by a larger population.
Markets of one. The average product's successor is not a better average product but a million specific ones, each serving an audience of one.
Appears in the Orange Pill Cycle
Further reading
- Edo Segal, The Orange Pill, chapter on the Software Death Cross
- Chris Anderson, The Long Tail (2006)
- Clayton Christensen, The Innovator's Dilemma (1997)