Technology, Cybersecurity & AI Governance
At the IMF and World Bank meetings, Anthropic co-founder Jack Clark argued that increasingly capable AI could transform scientific work and economic output, while also creating serious biological and cyber-security risks. Reuters reported that he urged international cooperation and unusually strong rules as the window for policymakers to shape safeguards narrows.
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Clark’s growth estimate was presented as a conditional forecast, not an official economic projection. Reuters reported that he described an internal model under which U.S. output could reach $44 trillion by 2030 if technology kept improving and new industries emerged. That premise is central; it should not be reported as a promised or certain outcome.
The governance case is more concrete than the headline number. Clark pointed to biological and cyber misuse, job displacement in some high-exposure roles and the need for human oversight. NIST’s AI Risk Management Framework provides a public reference point for thinking about risk management, even though it does not settle the international policy debate.