#ai-sovereignty
Where models, data, and control actually sit.
Tagged articles (11)
The Supplier Grades the Customer: What Pacing the Frontier Means for the Organisations That Buy It
Access to the frontier is now something the supplier allocates, not something the customer buys. The accountability for depending on it stays with the Board.
Nothing Has to Leave the Building: The AI Risk That Is Not a Data Breach
Frontier AI may pass an organisation's know-how to a model its competitors can buy. A Board governs that by deciding which work goes in.
The AI Sovereignty Trilemma: When a Frontier Model Vanishes and Reality Bites
The visible cost of sovereignty deters Boards. The hidden cost of the convenient alternative was never shown, and that is the cost 12 June presented.
Ethical AI: When the Model Imposes Values Your Organisation Did Not Choose
A foundation model arrives with a value system its provider built and the Board did not choose. The decision: accept it, reject it, or build.
The Headroom Argument: Why AI Efficiency Means More Compute, Not Less
Architectural efficiency expands AI compute demand rather than reducing it. Three forces converge on more inference. Boards should read efficiency news as capability, not cost.
The Year AI Grew Up: Five Inflections That Changed the Strategic Calculus in 2025
In 2025 Boards stopped asking what AI could do and started treating it as strategic infrastructure investment. Five connected inflections drove that shift.
A New Grid Actor: AI Infrastructure Is Becoming Energy Infrastructure
AI infrastructure operators building their own generation become grid actors rather than consumers, and that changes energy economics, nowhere more sharply than the UK.
UK AI Energy Constraints: From Niche Concern to Investment Banking Focus
When Goldman Sachs says power, not capital, is AI's bottleneck, energy stops being a niche concern. UK Boards pay four times their competitors' energy costs.
AI Sovereignty: A Board's Guide to Navigating Conflicting National Agendas
AI governance is fragmenting into incompatible systems: Europe's transparency, America's scale, China's control. Boards can no longer serve all three; they have to choose.
Why Boards Need to Watch the EU's General-Purpose AI Code of Practice
The EU's General-Purpose AI Code of Practice marks regulatory divergence: Europe sets transparency guardrails while America deregulates. Boards must now choose between transparency and speed.
Beyond Regulatory Uncertainty: Thoughts on the UK's AI Sovereignty Challenge
Individual AI training clusters will soon need more electricity than whole nations generate. The UK's AI sovereignty ambition meets its energy reality.
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