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Why Clarity, Not Control, Will Define the Global Race to Govern A.I.

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Why Clarity, Not Control, Will Define the Global Race to Govern A.I.

As the U.S., E.U. and U.K. pursue starkly different approaches to regulating A.I., predictability, not regulatory strictness, may become the decisive competitive advantage.

In the first week of June 2026, Anthropic released its most capable A.I. models, Claude Mythos and Claude Fable, to a small group of vetted organizations under a new safety program called Project Glasswing. Within days, the U.S. Department of Commerce suspended access to both models to comply with export controls. Three weeks later, the Department lifted those controls, and access was restored. For most of June, the most advanced A.I. systems in the world were governed less by a written statute than by an agency’s judgment call, made and adjusted within the same month.

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That sequence matters because it exposes something the A.I. industry has been slow to reckon with: the United States relies less on a codified regulatory regime and more on a set of fast-acting executive tools. Export controls, national security reviews and executive memoranda can turn access to a frontier model on or off without a new law. All it takes is an agency deciding, in a given week, that something warrants action.

That instability hasn’t gone unnoticed inside the industry. In mid-July, Demis Hassabis, the London-based CEO of Google DeepMind, published a proposal for a U.S. standards body modeled on FINRA, the industry-funded group that polices Wall Street under SEC oversight. Hassabis has said the improvised handling of the Mythos and Fable suspensions last month convinced him Washington needs a........

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