Published October 18, 2026
| Version 3.0.0
Preprint
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From AI Scaling to AI Governance: Technological Revolutions and the Political Economy of Deployment
Description
Perspective / review essay arguing that the relevant change in AI development is not a ceiling on capability but a shift in the economic gradient of deployment. Interprets the shift through Carlota Perez's installation/deployment framework as a transition from product competition to infrastructure competition. Evaluates the Anthropic/METR embedded-evaluator arrangement and the draft bill that would generalize it through an eight-dimension framework that distinguishes observed design features from mechanisms of exclusion and from demonstrated effects. Validates the framework against the EU AI Act's conformity-assessment regime, China's algorithm registration regime, and the UK AI Safety Institute. Includes LaTeX sources, BibTeX bibliography, and Node.js DOCX generation scripts. v3 preprint.
Files
From AI Scaling to AI Governance.pdf
Additional details
Software
- Repository URL
- https://github.com/sergemso/articles.ai_governance
References
- Perez, C. (2002). Technological Revolutions and Financial Capital.
- Anthropic (2026). An update on independent evaluators.
- METR (2026). Frontier Risk Report, February-March 2026.
- Vercel (2026). AI Gateway Production Index, October 2026.
- Epoch AI (2026). The plunging price of thought.
- European Union (2024). Regulation (EU) 2024/1689 (AI Act).
- NIST (2023). AI Risk Management Framework (AI RMF 1.0).
- UK Government (2023). AI Regulation White Paper, CP 815.