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