Institutions for the Post-Scarcity of Judgment

2026-04-24

AI Summary

This study addresses how artificial intelligence enables the large-scale, low-cost generation of judgment-based actions—such as selection, ranking, and certification—thereby undermining traditional institutions (e.g., courts, academic journals, legislatures) that rely on the scarcity of human judgment, and precipitating a crisis of legitimacy. Introducing the novel concept of “post-scarcity judgment,” this work integrates institutional economics, socio-technical systems theory, and cross-domain case comparisons to demonstrate that once AI renders judgment abundant, new scarcities emerge in verification signals, legitimacy mechanisms, provenance tracing, and cognitive integration. Building on these insights, the paper proposes a three-step institutional redesign agenda: shifting AI policy toward institutional design principles, co-developing public infrastructure for verification and provenance, and formalizing combinatorial institutional tools for strategic agents. It thereby reframes AI governance as a problem of institutional re-engineering, offering a theoretical foundation for institutional evolution in the AI era.

Technology Category

• Philosophy and Ethics of AI: AI & Law, Justice, Regulation & Governance
• Game Theory and Economic Paradigms: Mechanism Design
• Multiagent Systems: Mechanism Design

Application Category

• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization

Abstract

Each major technological revolution inverts a particular scarcity and rebuilds institutions around the shift. The near-consensus diagnosis of the AI revolution holds that AI collapses the cost of prediction while judgment remains scarce. This Opinion argues the inversion has now flipped: competent-looking judgment (selecting, ranking, attributing, certifying) is produced at scale and at marginal cost approaching zero, and four complements become scarce: verified signal, legitimacy, authentic provenance, and integration capacity (the community's tolerance for delegated cognition). Because judgment is the substance of institutions, the institutions built to manufacture legitimate judgment (courts, journals, licensing bodies, legislatures) now compete with the technology for the same functional role. The piece traces the pattern across scientific institutions, professional licensing, intellectual property, democratic legitimacy, and foundation-model concentration, and closes with a three-move agenda: reframe AI policy as institutional redesign, build provenance and verification as commons, and develop the formal apparatus for institutional composition under strategic agents.

Problem

• judgment scarcity
• institutional legitimacy
• AI revolution
• verified signal
• delegated cognition

Innovation

• judgment scarcity inversion
• institutional redesign
• authentic provenance
• verified signal
• delegated cognition