# Orchestration Economics **Entity class:** AI-economics concept **Domain:** Artificial intelligence / Agent systems **Maturity:** Developed ## Definition Orchestration economics studies how to allocate tasks among models, tools, agents, people, and repeated attempts to achieve a result at acceptable cost and reliability. ## Mechanism and significance The cheapest model is not always the cheapest workflow; routing, verification, parallelism, and escalation determine system-level productivity. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Model Architecture and Compute Economics|Model Architecture and Compute Economics]] - **Primary fields:** [[Machine Intelligence]] · [[AI Infrastructure]] · [[Compute Race]] - **Adjacent concepts:** [[Cost per Attempt]] · [[Cost per Token]] · [[Physical Compute Repricing]] · [[Wispr Flow]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.