4 papers
The Inference Bottleneck: A Formal Model of Vertical Foreclosure in AI Markets
Gaston Besanson
As generative AI commercializes, competitive advantage is shifting from model training toward inference, distribution, and routing. This paper develops a formal game-theoretic mode…
The Data Hydration Gap: A Formal Model of Underinvestment in General-Purpose Data Products Under Decentralized Governance
Gaston Besanson
When organizations decentralize data product ownership, as in the data mesh paradigm, each domain team optimizes for its immediate analytical needs, underinvesting in the cross-dom…
The Inference Bottleneck: Antitrust and Neutrality Duties in the Age of Cognitive Infrastructure
Gaston Besanson, Marcelo Celani
As generative AI commercializes, competitive advantage is shifting from one-time model training toward continuous inference, distribution, and routing. At the frontier, large-scale…
Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey
Gaston Besanson, Federico Todeschini
We study how people trade off accuracy when using AI-powered tools in professional versus personal contexts for adoption purposes, the determinants of those trade-offs, and how use…