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U.S. urges G20 to avoid new AI rules amid profit and security concerns
The U.S. position was delivered by tech adviser Michael Kratsios at a two-day G20 meeting in North Carolina, where U.S. firms and executives pressed for rules focused on novel cases rather than entirely new regulations.
The United States pressed G20 members to take a hands-off approach to AI regulation and avoid writing brand-new rules for the technology, arguing that additional federal requirements could reduce industry profits by slowing model releases or forcing product changes to address security concerns, according to Insurance Journal. U.S. tech adviser Michael Kratsios, co-hosting the two-day meeting, said countries should instead concentrate on rules for “novel” situations involving AI, while investing in foundational research to speed up discovery and strengthen commercial opportunities. He also said policymakers should not treat every emerging technology as a first-of-its-kind policy problem. Executives speaking at the gathering by video included Google DeepMind’s Demis Hassabis, Meta’s Mark Zuckerberg, and SpaceX CEO Elon Musk. Zuckerberg called for countries not to restrict open-weight AI models, while Musk criticized the European Union’s approach as inhibiting progress and urged leaders outside China to develop new energy sources to power data centers. The story also notes that AI regulation and data center development have become politically sensitive in the U.S. ahead of the 2026 midterm elections. It cites a United Nations panel warning that AI developments are outpacing scientific understanding and government policy, and it points to recent security incidents, including a hack triggered by a rogue OpenAI agent that compromised infrastructure at AI company Hugging Face, raising questions about how closely companies monitor and test their products.