The Inference Bottleneck: A Formal Model of Vertical Foreclosure in AI Markets
Fuente:
arXiv
Saved in:
| Main Author: | Besanson, Gaston |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Inference Bottleneck: Antitrust and Neutrality Duties in the Age of Cognitive Infrastructure
by: Besanson, Gaston, et al.
Published: (2026)
by: Besanson, Gaston, et al.
Published: (2026)
SARC: A Governance-by-Architecture Framework for Agentic AI Systems
by: Besanson, Gaston
Published: (2026)
by: Besanson, Gaston
Published: (2026)
Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey
by: Besanson, Gaston, et al.
Published: (2026)
by: Besanson, Gaston, et al.
Published: (2026)
The Data Hydration Gap: A Formal Model of Underinvestment in General-Purpose Data Products Under Decentralized Governance
by: Besanson, Gaston
Published: (2026)
by: Besanson, Gaston
Published: (2026)
Market or Markets? Investigating Google Search's Market Shares Under Horizontal and Vertical Segmentation
by: Hu, Desheng, et al.
Published: (2024)
by: Hu, Desheng, et al.
Published: (2024)
AI, Metacognition, and the Verification Bottleneck: A Three-Wave Longitudinal Study of Human Problem-Solving
by: Huemmer, Matthias, et al.
Published: (2026)
by: Huemmer, Matthias, et al.
Published: (2026)
Vertical tacit collusion in AI-mediated markets
by: Affonso, Felipe M.
Published: (2026)
by: Affonso, Felipe M.
Published: (2026)
Trustworthy AI Posture (TAIP): A Framework for Continuous AI Assurance of Agentic Systems at Horizontal and Vertical scale
by: Lupo, Guy, et al.
Published: (2026)
by: Lupo, Guy, et al.
Published: (2026)
Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
by: Yilmaz, Berk, et al.
Published: (2025)
by: Yilmaz, Berk, et al.
Published: (2025)
SOMONITOR: Combining Explainable AI & Large Language Models for Marketing Analytics
by: Farseev, Aleksandr, et al.
Published: (2024)
by: Farseev, Aleksandr, et al.
Published: (2024)
AI-Enabled Rent-Seeking: How Generative AI Alters Market Transparency and Efficiency
by: Zhang, Yukun, et al.
Published: (2025)
by: Zhang, Yukun, et al.
Published: (2025)
Global AI Governance: Where the Challenge is the Solution- An Interdisciplinary, Multilateral, and Vertically Coordinated Approach
by: Zhong, Huixin, et al.
Published: (2025)
by: Zhong, Huixin, et al.
Published: (2025)
Mapping the Parasocial AI Market: User Trends, Engagement and Risks
by: Qian, Zilan, et al.
Published: (2025)
by: Qian, Zilan, et al.
Published: (2025)
Digital Homunculi and Institutional Design: Breaking Through the Experimentation Bottleneck
by: Specian, Petr
Published: (2024)
by: Specian, Petr
Published: (2024)
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
by: Verma, Gaurav, et al.
Published: (2025)
by: Verma, Gaurav, et al.
Published: (2025)
Why Conclusions Diverge from the Same Observations: Formalizing World-Model Non-Identifiability via an Inference
by: Takahashi, Toru
Published: (2026)
by: Takahashi, Toru
Published: (2026)
The Rise of AI Search: Implications for Information Markets and Human Judgement at Scale
by: Aral, Sinan, et al.
Published: (2026)
by: Aral, Sinan, et al.
Published: (2026)
The Topology of Hardship: Empirical Curriculum Graphs and Structural Bottlenecks in Engineering Degrees
by: Paz, H. R.
Published: (2025)
by: Paz, H. R.
Published: (2025)
The Tragedy of Productivity: A Unified Framework for Diagnosing Coordination Failures in Labor Markets and AI Governance
by: Dasdan, Ali
Published: (2025)
by: Dasdan, Ali
Published: (2025)
Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
by: Wang, Olivia Peiyu, et al.
Published: (2026)
by: Wang, Olivia Peiyu, et al.
Published: (2026)
The Impact of Generative AI on Content Platforms: A Two-Sided Market Analysis with Multi-Dimensional Quality Heterogeneity
by: Zhang, Yukun, et al.
Published: (2024)
by: Zhang, Yukun, et al.
Published: (2024)
Debiasing Graph Representation Learning based on Information Bottleneck
by: Zhang, Ziyi, et al.
Published: (2024)
by: Zhang, Ziyi, et al.
Published: (2024)
Anchoring AI Capabilities in Market Valuations: The Capability Realization Rate Model and Valuation Misalignment Risk
by: Fang, Xinmin, et al.
Published: (2025)
by: Fang, Xinmin, et al.
Published: (2025)
DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models
by: He, Chengbo, et al.
Published: (2025)
by: He, Chengbo, et al.
Published: (2025)
The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research
by: Li, Ning
Published: (2026)
by: Li, Ning
Published: (2026)
REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading
by: Zhao, Chengshuai, et al.
Published: (2026)
by: Zhao, Chengshuai, et al.
Published: (2026)
A Formal Specification of a Data Model for Malaria Surveillance in the Developing World
by: Tuyishimire, Emmanuel
Published: (2024)
by: Tuyishimire, Emmanuel
Published: (2024)
Market Dynamics, Governance and Open Research Metadata in the AI Era
by: Hook, Daniel W.
Published: (2026)
by: Hook, Daniel W.
Published: (2026)
Missing vs. Unused Knowledge Hypothesis for Language Model Bottlenecks in Patent Understanding
by: Wu, Siyang, et al.
Published: (2025)
by: Wu, Siyang, et al.
Published: (2025)
AI in Manufacturing: Market Analysis and Opportunities
by: Abdelaal, Mohamed
Published: (2024)
by: Abdelaal, Mohamed
Published: (2024)
AI Model Registries: A Foundational Tool for AI Governance
by: McKernon, Elliot, et al.
Published: (2024)
by: McKernon, Elliot, et al.
Published: (2024)
A Case Study in Responsible AI-Assisted Video Solutions: Multi-Metric Behavioral Insights in a Public Market Setting
by: Fereydouni, Mehrnoush, et al.
Published: (2026)
by: Fereydouni, Mehrnoush, et al.
Published: (2026)
Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems
by: Ng, Lynnette Hui Xian, et al.
Published: (2026)
by: Ng, Lynnette Hui Xian, et al.
Published: (2026)
Mining Legal Arguments to Study Judicial Formalism
by: Koref, Tomáš, et al.
Published: (2025)
by: Koref, Tomáš, et al.
Published: (2025)
LEGOS-SLEEC: Tool for Formalizing and Analyzing Normative Requirements
by: Kolyakov, Kevin, et al.
Published: (2025)
by: Kolyakov, Kevin, et al.
Published: (2025)
Toward Sustainable Generative AI: A Scoping Review of Carbon Footprint and Environmental Impacts Across Training and Inference Stages
by: Kim, Min-Kyu, et al.
Published: (2025)
by: Kim, Min-Kyu, et al.
Published: (2025)
Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education
by: Behmanush, Hamayoon, et al.
Published: (2026)
by: Behmanush, Hamayoon, et al.
Published: (2026)
Meet Your New Client: Writing Reports for AI -- Benchmarking Information Loss in Market Research Deliverables
by: Simmering, Paul F., et al.
Published: (2025)
by: Simmering, Paul F., et al.
Published: (2025)
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
by: Mukherjee, Anirban
Published: (2024)
by: Mukherjee, Anirban
Published: (2024)
Empowering the Future Workforce: Prioritizing Education for the AI-Accelerated Job Market
by: Amini, Lisa, et al.
Published: (2025)
by: Amini, Lisa, et al.
Published: (2025)
Similar Items
-
The Inference Bottleneck: Antitrust and Neutrality Duties in the Age of Cognitive Infrastructure
by: Besanson, Gaston, et al.
Published: (2026) -
SARC: A Governance-by-Architecture Framework for Agentic AI Systems
by: Besanson, Gaston
Published: (2026) -
Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey
by: Besanson, Gaston, et al.
Published: (2026) -
The Data Hydration Gap: A Formal Model of Underinvestment in General-Purpose Data Products Under Decentralized Governance
by: Besanson, Gaston
Published: (2026) -
Market or Markets? Investigating Google Search's Market Shares Under Horizontal and Vertical Segmentation
by: Hu, Desheng, et al.
Published: (2024)