Overserving

In the AI Story

Usage data across the SaaS industry tells a consistent story: the median user of an enterprise platform uses between five and fifteen percent of available features. She navigates around the unused features, develops workarounds for the interface complexity they create, and pays for a platform that does a hundred things because the three things she needs are bundled with ninety-seven she does not. This is the signature pattern of overserving. The features are not bad — enterprise customers who requested them genuinely use them. But the pricing structure, interface complexity, and organizational overhead required to maintain a hundred-feature platform are borne by all customers, including those who need only three features.

By February 2026, the market's recognition of accumulated overserving produced what Segal calls the software death cross: a trillion dollars of market value evaporating from software companies in eight weeks. Workday fell thirty-five percent. Adobe lost a quarter of its value. Salesforce dropped twenty-five percent. The disruptor entering from below was not a better version of these platforms but a fundamentally different product — a custom, AI-generated tool that does exactly what the user needs, built through conversation at near-zero marginal cost.

The historical parallel that maps most precisely onto the SaaS death cross is the mini-mill disruption of integrated steel in the 1970s and 1980s. The mini-mills entered at the bottom of the steel market, producing rebar — the lowest-quality, lowest-margin product. The integrated mills welcomed this entry; rebar was their least profitable product, and losing it improved their metrics. They ceded angle iron, then structural components, then sheet steel, celebrating each ceded market as an improvement in product mix. By the time the mini-mills reached the high end, the integrated mills' cost structure no longer supported their compressed product portfolio.

The SaaS companies ceding their low-end customers to AI-generated custom tools are reenacting this pattern. Each customer lost is a low-margin customer. Each loss improves the quarterly metrics. And each loss makes the eventual reckoning more severe, because the cost structure designed for a broad customer base is being compressed to serve a narrow one, and the fixed costs of maintaining a comprehensive platform do not decrease proportionally with the loss of lower-tier revenue.

Origin

Christensen introduced the overserving concept in The Innovator's Dilemma and documented its operation across multiple industries. The concept became central to his subsequent work on low-end disruption and the innovator's response.

Key Ideas

Rational response, structural trap. Overserving is the rational response to customer feedback, and it is the mechanism by which incumbents create space for their own displacement.

Features accumulate faster than usage. Incumbents add features at rates that exceed the mainstream market's capacity or willingness to absorb them.

The median user subsidizes the demanding user. Pricing structures calibrated to comprehensive platforms force median users to pay for capabilities they do not use.

Disruption enters through the gap. The larger the gap between what the incumbent provides and what the mainstream market requires, the larger the opportunity for disruptive entry.