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Clark says Anthropic's internal model predicts AI will boost US GDP growth by nearly 50% by 2030

7 reports7 story updatesUpdated Oct 21 08:29

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On October 17, 2026, Anthropic co-founder Jack Clark delivered the Per Jacobsson lecture at the IMF meetings in Bangkok, citing Anthropic's internal modeling to claim that if models can autonomously complete a wide range of tasks and spread rapidly, US GDP could reach $44 trillion by 2030, an increase of nearly 50% over current levels. He also said that this year he had obtained convincing evidence that the singularity has already begun, with AI autonomously producing results in frontier scientific fields, and cited progress including the top score on Humanity's Last Exam rising from 8% in January 2025 to 67.7% with Claude Opus 5.5, and FrontierMath rising from 2% to 94%. Subsequent reporting noted that the $44 trillion figure comes from the most aggressive "extreme scenario" in Anthropic's September research paper "The Economic Scenarios of Transformative AI," which requires the share of labor tasks involving AI to rise from 1.4% in mid-2026 to 30%.

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  1. Clark says Anthropic's internal model predicts AI will drive nearly 50% US GDP growth by 2030

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Oct 21

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Oct 20

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Oct 19

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    Jack Clark says in IMF speech that the singularity has already begun

    Anthropic co-founder Jack Clark delivered the Per Jacobsson lecture on October 17 at the IMF meetings in Bangkok, saying that this year has brought convincing evidence that the singularity has already begun and that AI is autonomously producing results in frontier science. He cited Humanity's Last Exam's top score rising from 8% in January 2025 to 67.7% for Claude Opus 5.5, and FrontierMath rising from 2% to 94%, and cited TheoPhysEval, in which GPT-6-Astra's score rose to 98% (49/50) after experts corrected the answers. Citing Anthropic's internal modeling, he said that if models can autonomously complete a wide range of tasks and spread rapidly, U.S. GDP could reach $44 trillion by 2030, and he called on countries to expand computing power, electricity and scientific research robotics facilities, while maintaining strict human oversight in areas such as biological research.

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Oct 18

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