
The Map We Never Had
Why a shared language of correctness may matter more than any single tool — and what the Blockchain Property Ontology is trying to build.
Research & Collaboration
The Intelligence Economy Institute advances the economic, financial, and governance infrastructures that the intelligence economy will require — convening finance institutions, regulators, researchers, and technologists around evidence, not hype.
Latest
Original articles, reports, and a curated stream of external writing, threads, and resources from across the field.

Why a shared language of correctness may matter more than any single tool — and what the Blockchain Property Ontology is trying to build.

How the layer between a language model and the system that acts on its behalf determines whether agentic AI can be trusted with consequence.

Why building tokenised-equity markets ends up looking like programmable traditional finance — order books, DvP settlement, and deterministic compliance.

Why AI agents will require a new substrate beneath payments — and how machine-speed, programmable infrastructure reshapes the economics of automated commerce.

As autonomous systems begin to transact, allocate capital, and incur obligations, the economy needs a settlement and accounting layer that machines can read and auditors can trust.
3 min read

If agents are to allocate scarce resources efficiently, they need price signals built for machine-speed decisions. We examine what a market for autonomous work would require — and where today's mechanisms fall short.
2 min read
Areas of focus
Markets, pricing, and settlement systems for autonomous and agentic economic activity.
Capital formation, payments, and risk frameworks as AI reshapes intermediation.
Accountability, auditability, and the institutional rules that keep AI markets legible.
Programmable assets and verifiable settlement — the connective tissue between AI systems and real-world value.
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