The Unbuilt Instrument: Information Asymmetry, Cognitive Sovereignty, and the Architecture of a New Capitalism
Abstract
Information asymmetry is as old as organized power. Since at least the tax farmers of Louis XIV, however, it has been institutionalized in market structures with sufficient formality that its mechanism is now precisely describable in the language of economic theory. The less-informed party, historically the individual, has never possessed a complete navigable representation of their own value before entering any negotiation with capital, state, or institution. Akerlof, Spence, and Stiglitz received the Nobel Prize in Economic Sciences in 2001 for formalizing what follows from that gap. When one party cannot observe the value on offer, the market does not fail to clear. It clears at an inefficient equilibrium, and the less-informed party bears the loss. What has never existed is an instrument that lets the individual see the full value they carry before they trade it away. This paper argues that such an instrument can now be built, and sets out its design. The Cognitive Universe System (CUS) is a proposed AI architecture that maps an individual's information-selection patterns into a navigable three-dimensional knowledge universe, partitioned by the individual into consensually defined domains. One domain, the work galaxy, is designed to serve as the individual's interface with the economic world on terms the individual controls. A trusted guide, Nele, is intended to help the individual grasp the full dimensionality of their own value before any external party sees any portion of it. CUS is designed to be held in a public trust structured to resist commercial or governmental capture. The aim is not redistribution by regulation but redistribution by information: moving labor and knowledge markets toward the informational symmetry that efficient exchange has always presupposed but never had. Patent pending: USPTO Provisional Application Nos. 64/074,530, 64/074,608, 64/074,779, 64/075,396, and 64/079,009, all filed May 2026.
Fields of Study & Subjects
Innovation
Sustainability
Human-Machine Systems
Socio-political and Technological Issues
University-Industry-Government Innovation Models
Publication details
- Publication date
- 31 May 2026
- Document type
- Preprint