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Volume VTheoreticalJune 27, 2026Part of: Representation Economy Research Program

Inferential Monopoly Theory

Market Concentration in AI-Mediated Allocation

Abstract

This paper examines Inferential Monopoly—market concentration arising from control over computational consideration infrastructure in AI-mediated allocation systems. When allocation depends on computational consideration sets, control over the infrastructure that constructs these sets becomes allocative monopoly power, even without explicit market dominance in traditional metrics.

We analyze how infrastructure operators may extract rents through consideration set construction, qualification criteria, and admissibility thresholds. The framework is entirely theoretical; no empirical validation of market power or competitive effects is attempted.

Epistemic Status: Theoretical / Non-Empirical

This paper presents a theoretical framework for analyzing market structure. All claims about monopoly power and competitive effects are speculative.

Inferential Monopoly Mechanisms

How consideration infrastructure creates allocative monopoly power

Consideration Control

Control over which options enter consideration sets creates allocative power independent of market share.

Qualification Gates

Setting admissibility thresholds creates structural barriers that competitors cannot overcome through quality or price.

Rent Extraction

Infrastructure operators may extract economic rents through priority placement, qualification status, or visibility guarantees.

Barriers to Entry

New entrants face both traditional barriers and new computational admissibility barriers controlled by infrastructure operators.

Citation

How to cite this research publication

APA Style

Patrone, M. (2026). Inferential Monopoly Theory: Market Concentration in AI-Mediated Allocation. Representation Economy Research Program, Volume V. HomeSelf Research. DOI: 10.5281/zenodo.20955337

DOI

10.5281/zenodo.20955337

View on Zenodo