teleo-codex/foundations/teleological-economics/performance overshooting creates a vacuum for good-enough alternatives when products exceed what mainstream customers need.md
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 20:30:34 +00:00

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The trajectory of technological progress almost always outstrips customer absorption -- once the incumbents product overshoots mainstream requirements simpler cheaper alternatives cross the threshold claim livingip 2026-02-21 Clayton Christensen, The Innovator's Dilemma (1997) likely Christensen disruption theory

performance overshooting creates a vacuum for good-enough alternatives when products exceed what mainstream customers need

Christensen identifies a structural inevitability: the trajectory of technological progress almost always outstrips the ability of customers to absorb that improvement. Products get better faster than customers need them to get better. When the incumbent's product exceeds what mainstream customers can use or value, a vacuum opens for "good enough" alternatives that compete on a different basis -- price, simplicity, convenience, or accessibility. The mechanism operates as follows: incumbents push performance along dimensions their best customers demand. Over time, performance overshoots what many customers can absorb or value. The technology trajectory intersects with mainstream customer needs from a different direction -- the entrant's "inferior" product crosses the threshold of "good enough" for the mainstream while offering advantages the incumbent's product does not.

Each of Christensen's foundational examples demonstrates this pattern. Disk drive manufacturers pushed capacity relentlessly because their best customers (mainframe and minicomputer makers) demanded it, overshooting what the emerging PC market needed and creating space for smaller, cheaper drives. Integrated steel mills pushed quality to serve their most demanding customers while mini-mills, starting with rebar, steadily improved until thin-slab casting let them produce sheet steel that was good enough for mainstream applications. The pattern repeats across mechanical excavators, motorcycles, and dozens of other industries. A company whose products are not good enough for the mainstream at one point can improve at such a rapid rate that it overshoots what mainstream customers need at a later point -- this is the window through which disruption enters.

Performance overshooting is a specific manifestation of overfitting is the idolatry of data a consequence of optimizing for what we can measure rather than what matters. Incumbents overfit to the demands of their best customers -- the measurable, quantifiable performance metrics those customers articulate -- while underweighting the broader market's actual needs. This connects to why good management causes disruption because rational resource allocation systematically favors sustaining innovation over disruptive opportunities: the rational response to customer demands is to keep improving on the dimensions customers request, even when those dimensions have already exceeded what most customers need. Since companies and people are greedy algorithms that hill-climb toward local optima and require external perturbation to escape suboptimal equilibria, the overshooting is not a choice but an inevitable consequence of optimizing for the local gradient of current customer satisfaction.

The overshooting mechanism also explains the timing dimension of the universal disruption cycle is how systems of greedy agents perform global optimization because local convergence creates fragility that triggers restructuring toward greater efficiency. The vacuum created by overshooting is the moment of fragility -- when the incumbent's optimization has overshot and the "good enough" alternative has reached the threshold, the system restructures. This is predictable, which is why riding waves of change requires anticipating the attractor state and positioning before incumbents respond through their predictable inertia works: the overshooting trajectory is measurable, and the threshold of "good enough" can be estimated, making the timing of disruption forecastable even when the specific disruptor is not.


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