This section examines the economic structures that emerge when work becomes semantic, delegable, and machine-interpretable.
The AI-native economy differs from traditional software-driven productivity in that:
- execution is defined through semantic task chains
- management shifts from intent expression to completion governance
- responsibility becomes assignable across human–machine boundaries
- work output becomes auditable and replayable
- coordination cost declines as delegation becomes programmable
These documents describe how semantic execution alters:
- production functions
- organizational overhead
- unit economics of knowledge work
- distribution of expertise
- the boundary between firm-level and machine-level execution
The aim is to provide a structural view of the economic environment enabled by AI-native management and semantic execution systems.