Institutions for the Post-Scarcity of Judgment

TL;DR

The paper argues that AI has shifted judgment from scarcity to abundance, challenging traditional institutions and calling for a redesign of institutional frameworks to address new scarcity types.

Contribution

It introduces a new perspective on AI's impact, emphasizing the need for institutional redesign around verified signal, legitimacy, provenance, and integration capacity.

Findings

Judgment is now produced at scale and low cost, altering institutional roles.

Four new scarce resources are identified: verified signal, legitimacy, provenance, and integration capacity.

Traditional institutions now compete with AI for producing legitimate judgment.

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.