Essays on AI sovereignty, model economics, infrastructure, and the structural dynamics of technological power.
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As large language models become strategic infrastructure, sovereignty turns dependency, jurisdiction, and control into forces that shape competition.
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Large language models are splitting into two economic roles: attention capture and intent execution.
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Local models become competitive when the remaining gap falls below what users can notice.
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Skill-forming and fact-forming data produce different kinds of model progress, but release cycles often blur them together.
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Technical improvements stop producing advantage once users can no longer perceive the difference.
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Early infrastructure advantage can turn into a liability when cost curves collapse faster than capital can amortize.
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AI competition is not one race but many layered domains with different constraints and timelines.
