AI Value Chain
An analytical framework describing the complete value-creation pathway of the AI industry, from physical foundational resources to final application deployment. It encompasses six layers: foundational inputs, hardware, infrastructure, data, foundation models, and applications.
Timeline (last 90 days)
The AI value chain can be decomposed into six interdependent layers: foundational inputs, hardware, infrastructure, data, foundation models, and applications.
Value is migrating toward the application layer that solves specific last-mile problems, while underlying capabilities are progressively commoditizing.
All Facts (2)
The AI value chain can be decomposed into six interdependent layers: foundational inputs, hardware, infrastructure, data, foundation models, and applications.
50%UnverifiedValue is migrating toward the application layer that solves specific last-mile problems, while underlying capabilities are progressively commoditizing.
50%