The politics of AI, part two
From infrastructure to ideology: lawmakers are pivoting from data-center battles to model governance—and the stakes just got higher.
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.
The key facts
7 to knowPolicy 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
Go to the source
Financial Times Technologyft.com
Publisher excerpt: First it was data centres that concerned voters and lawmakers — now they’re worrying about the models themselves