WorkSeptember 14, 2026via Financial Times Technology
The politics of AI, part two
Why it matters
Policy attention is shifting from the physical buildout (data centers, power, chips) to the models themselves—their training, safety, alignment, and societal impact. This signals a maturing regulatory landscape where the political economy of AI moves upstream.
Key signals
- Policy debate shifting from data-center concerns to model-level governance
- Indicates evolving regulatory focus on AI model development and deployment
- Signals transition from infrastructure policy to capability/safety policy
- FT article frames as 'part two' of political economy narrative
- Political focus shifting from data-center concerns to model regulation
- Suggests emerging policy debate around model capabilities and governance
- Indicates second-order policy maturation as AI becomes more proximate to end users
The hook
From infrastructure to ideology: lawmakers are pivoting from data-center battles to model governance—and the stakes just got higher.
First it was data centres that concerned voters and lawmakers — now they’re worrying about the models themselves