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G7 Leaders Warn Over US AI Access Risk as Anthropic Model Ban Exposes Dependency Threat

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World leaders used the G7 Summit to raise urgent concerns about the United States’ ability to cut off access to American AI models without warning, in a debate shaped directly by the Trump administration’s recent ban on Anthropic’s Mythos 5 and Fable 5 models.

French President Emmanuel Macron addressed G7 leaders and top AI executives, including Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman, warning that if the U.S. could unilaterally switch off access to its AI systems, it would damage not only foreign economies but the American AI companies themselves. Indian Prime Minister Narendra Modi echoed those concerns, arguing that democratic nations must retain unfettered access to frontier AI models to protect critical infrastructure.

The Anthropic ban, triggered after Amazon flagged potential guardrail vulnerabilities to the White House, has crystallised a risk that international businesses and governments had long feared: that infrastructure built on U.S. AI can be revoked overnight, with no explanation offered.

Aidan Gomez, co-founder and CEO of Canadian enterprise AI firm Cohere, said the episode confirmed the dangers of dependence on a small number of large technology companies, framing digital sovereignty as a matter of economic security extending across decades.

G7 leaders discussed a proposed “trusted partners” scheme that would grant allied nations and companies continued access to advanced models from firms including Anthropic and OpenAI, provided they used the technology to strengthen defences against rivals such as China. Macron argued Washington should support the scheme, noting that no government or business would rely on U.S. AI infrastructure if access could disappear without notice.

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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