Value Network
The value network is the entire ecosystem — suppliers, partners, customers, complementors — that defines what is valued and how value is captured within a particular market context. The value network determines the metrics by which performance is measured, the cost structures that are viable, and the organizational capabilities that command a premium. When a disruption occurs, the value network does not merely adjust. It shifts to a new configuration where different participants occupy different positions and different capabilities command the premium. Applied to AI, the framework reveals that the pre-AI value network valued execution, and the post-AI value network values judgment — a shift that affects every participant in the system simultaneously.
In the AI Story
The pre-AI value network in software valued execution. The ability to write code was the foundational capability. Business strategy, product design, and user research were important, but as inputs to execution. The person who could translate a strategy into working code occupied the critical path. Her time was the bottleneck. Her skill was the constraint. The entire organizational structure of a software company — team composition, project management, compensation hierarchies — was organized around the primacy of execution.
The post-AI value network values judgment. When AI executes competently across the spectrum of implementation tasks, execution ceases to be the constraint. The constraint moves upstream to the decisions that determine what should be executed — what to build, for whom, why, how it fits within the broader ecosystem, whether it should be built at all. This is not a reallocation within the existing network but the creation of a new network with different participants, different metrics, and different power dynamics.
The vector pods that Segal describes — small groups whose job is to decide what should be built rather than to build it — are nodes in the new value network. Five years earlier, such a structure would have been incoherent. Now it is the leading edge of organizational design. The Christensen Institute's extension of the framework to AI companies themselves — mapping how capital markets, revenue models, and governance structures shape OpenAI, Anthropic, Google, Meta, and xAI — treats the industry structure itself as the relevant value network, with outcomes determined by incentives rather than intentions.
The implications for professional identity are personal and immediate. The capabilities that placed an execution-focused engineer at the center of the old network migrate to different positions in the new one. The specialist becomes an input to the integrator's decision rather than an independent contributor. The most valuable people, as Segal observes, are not the most technically skilled but the people with the ability to be orchestrators, creative directors, multi-disciplinary thinkers.
Origin
Christensen introduced the value network concept in The Innovator's Dilemma (1997) as the framework for understanding why incumbents systematically fail to pursue disruptive opportunities. The value network explains the pattern better than firm-level or technology-level analysis, because it locates the constraints in the broader ecosystem rather than in any single participant.
Key Ideas
Networks, not firms, determine outcomes. Competitive outcomes are shaped by the ecosystem of relationships, not just the behaviors of individual firms.
Metrics follow the network. What the value network values is what firms measure, optimize, and reward.
Disruption shifts the network. Major disruptions do not merely change market shares; they reconfigure the entire ecosystem of value creation and capture.
Capabilities migrate. Skills that commanded premiums in the old network occupy different positions in the new one.
Appears in the Orange Pill Cycle
Further reading
- Clayton M. Christensen, The Innovator's Dilemma (Harvard Business Review Press, 1997)
- Thomas Arnett, "AI Companies and the Incentives That Shape Them" (Christensen Institute, 2025)