Recursive Intelligence Evolution & Compounding Intelligence Capital
This is my first essay on intelligence capital. Three years of working in GenAI have left me both excited and anxious. Through ROES and the essays that follow, I hope to improve—and perhaps restructure—the relations of production in the age of intelligence, so that more individuals and organizations can own intelligence capital that continues to compound. The aim is broader ownership, without seeking equal distribution.
AI's real transformation should extend beyond gains in productivity. For the first time, intelligence can exist beyond a single individual: it can be replicated, accumulated, combined, and continuously evolved. Large models are built on the knowledge, language, and experience humanity has accumulated over thousands of years. Yet the intelligent capabilities arising from this shared knowledge base are rapidly concentrating in a small number of model, compute, and platform companies. A more lasting effect is that every human use of AI continues to generate new context, decisions, feedback, and outcomes.
Application → Experience → Feedback → Intelligence Evolution → Better Application → More Value → Further Evolution.
I call this mechanism Recursive Intelligence Evolution. The knowledge, experience, memory, logic, decisions, skills, and relationships among them—the ontology of intelligence—that accumulate through this loop are already forming a new kind of capital capable of continuing to grow in value: Compounding Intelligence Capital.
Perhaps we can no longer influence who owns the strongest models in the AI era—although that question may still be far from settled. But could there still be an opportunity for more people to own the intelligence loop that keeps compounding? If intelligence continues to accumulate mainly within a few model, compute, and platform companies, AI's enormous productivity dividend could become increasingly concentrated intelligence rents.
Through ROES, I want to explore another possibility: using Context RSI, Agency RSI, and Cognition RSI to help individuals and organizations more independently accumulate, manage, own, and continuously evolve their intelligence, reduce their dependence on monopolistic capital, and build compounding intelligence capital of their own. AI should not merely make existing capital more efficient; it should also enable more people to become owners of compounding intelligence capital.
I will leave two questions, which I consider even harder and more far-reaching, for future discussion:
1. How do we accurately record the formation of each intelligence delta? Is recording it necessary at all? Could there be better approaches? Do we need an Intelligence Ledger?
2. When intelligence assets become an independent class of economic assets, how should they reshape ownership, value distribution, and relations of production? Might we even need an entirely new set of intelligence economic relations, existing alongside traditional relations of production?