Semantic Substrate

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The economics layer for artificial intelligence — cost, value, and allocation at scale.

A position naming the discipline of how intelligence is priced, allocated, optimized, and traded in AI-native systems.

Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.

Primary home

Intelligence cluster215

Also appears in

Economy cluster92

Architectural context

Intelligence · Cross-Vertical · 2 compound moats. Cross-cutting: Intelligence, Economy.

Layer position: Cross-cutting

EconomyIntelligence

Why this is canonical

As AI inference costs, model selection, and compute allocation become strategic decisions, 'intelligence economics' names the emerging discipline: the study of how intelligence is produced, priced, and consumed. On .ai, this string best-positions to be cited by builders and analysts who treat AI capability as an economic input to be managed, not merely a feature to deploy.

Where it fits

A few directions this coordinate opens —

AI cost optimization and FinOps
The named layer for platforms and tools that manage the economics of AI model usage — inference cost, token budgets, model routing, ROI measurement.
AI FinOps platforms, LLMOps tooling companies, enterprise AI buyers
Intelligence market and valuation
Framing AI capabilities as economic assets — how organizations value, price, and allocate intelligence across functions and products.
Enterprise strategy consultancies, AI valuation firms, CFO-facing AI analytics products

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.

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