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WIRED AIPublished: Jul 8, 2026, 19:00 JST

Former DeepMind Policy Chief Warns AI Arms Race Framing Risks Global Cooperation

Former DeepMind Policy Chief Warns AI Arms Race Framing Risks Global Cooperation

3 Key Points

  1. What happened

    Verity Harding, who previously briefed world leaders on AI while head of global public policy at Google DeepMind, has published an essay anthology titled Reframing the AI Arms Race arguing that war metaphors describing AI development are fundamentally misguided and shape policy dangerously.

  2. Why it matters

    Harding contends that casting AI as a lethal competition between superpowers closes the door to international cooperation needed for safe technology and fair benefit distribution, while smaller nations that accept this framing must choose sides—potentially against their own interests. The Trump administration's nationalist AI rhetoric and forced withdrawal of Anthropic's frontier model exemplify how the arms race narrative translates into real policy.

  3. What to watch

    Harding advocates for a middle powers coalition—potentially including Canada, France, Japan, South Korea, India, and the UK—to resist the binary superpower competition and preserve collaborative capacity on shared challenges like security and disease prevention.

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Context & Analysis

The arms race metaphor for AI emerged quickly after ChatGPT's November 2022 launch, a moment when geopolitical tensions were already high due to the pandemic's end and Russia's invasion of Ukraine. Harding traces how the narrative shifted from international cooperation—the norm during her time at DeepMind between 2016 and 2020—to a civilizational battle between the West and China. Two forces drove this change: a sincere belief that AI technology was dangerous and should be controlled by democracies, and an anti-regulation lobby that benefited from China as a bogeyman, using the threat to discourage domestic oversight.

The stakes of this framing are material and structural. When nations accept the binary arms race logic, they surrender agency; smaller powers become "chess pieces on one side or the other." The major AI labs themselves have benefited from the narrative, Harding argues, because it concentrates power—only they claim the expertise and urgency to lead. The long-term trajectory Harding fears is excessive government control, centralized power over AI systems, and "vassal states" unable to pursue their own interests. Competition itself is normal and healthy, but the arms race language makes collaboration unthinkable just when it is most needed—on shared security, food, and health challenges where no single superpower can solve alone.

FAQ
Who are the key figures and contributors to this framing critique?
Verity Harding curated the essay anthology Reframing the AI Arms Race and is joined by historian Lawrence Freedman and Japanese politician Taro Kono, among other figures from global politics and academia.
What specific recent events does Harding cite as evidence of the arms race framing taking hold?
She points to the Trump administration's nationalist AI rhetoric and its forced withdrawal of Anthropic's latest frontier model from the market as symptoms of the arms race framing becoming policy reality.
What alternative approach does Harding propose?
Harding calls for a middle powers coalition—potentially Canada, France, Japan, South Korea, India, and the UK—to leverage collective scale and specialization (India's technology diffusion, the UK's talent ecosystem, Canada's critical minerals) and prevent the entire game from collapsing into a binary superpower race.

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