The .ai coordinate for the economy of neural computation — where AI capacity becomes a market.
A cross-cutting .ai position for platforms, protocols, and markets that treat neural AI compute and capability as tradeable economic resources.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
Neural · Cross-Vertical · 2 compound moats. Architectural surface: Neural. Cross-cutting: Economy.
Layer position: Cross-cutting
Why this is canonical
The 'neural economy' names the emerging market structure in which AI compute, model capacity, and neural network outputs are traded, priced, and allocated like economic goods. As inference-as-a-service, compute markets, and AI token economies mature, the concept of a neural economy crystallizes from metaphor into operational market structure. This string is best-positioned for the infrastructure layer of that market — the platforms and protocols that enable neural compute to be allocated economically.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.