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At a Bangkok panel, Kristalina Georgieva paired optimism about AI’s employment impact with concern about job quality. Anthropic’s Jack Clark said companies cannot decide policy alone.
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At the Oct. 16, 2026, IMF–World Bank meetings in Bangkok, IMF Managing Director Kristalina Georgieva and Anthropic policy chief Jack Clark argued that AI governance cannot be left to companies, and that oversight is needed to preserve the technology’s economic value. Georgieva said IMF research points to net employment gains, but warned displaced workers could end up in lower-paid service jobs rather than the professional careers they expected. She also said wider participation depends on electricity, digital networks and cybersecurity; no specific safeguard or policy proposal was announced.
Clark compared regulation of children’s toys with oversight of what he called “literal superintelligence,” arguing that company-only decisions are inadequate.
Georgieva separated AI’s labor effects into transformed or new jobs, eliminated repetitive work, and service jobs created by investment spending.
Bank of Canada Governor Tiff Macklem warned that, as with trade, technology can create overall wealth while causing losses that may fuel backlash without support.
AI’s economic promise could come with a costly mismatch: gains overall, but worse opportunities for some workers. International Monetary Fund Managing Director Kristalina Georgieva called for urgent safeguards at an October 16, 2026 panel in Bangkok, warning that the technology’s benefits would be worth less if its rapid advance harmed people.
Speaking during the IMF–World Bank annual meetings, Georgieva compared AI to a Formula 1 car that could leave the track and run people over. Anthropic co-founder and policy chief Jack Clark pushed the analogy further, describing a nighttime race in cars that might lack brakes. Both called for action to manage the risks, while expressing hope that the technology could be governed.
The panel, titled “AI and the Global Economy: From Risk to Opportunity,” brought together leaders from finance, government and business. The IMF’s official agenda put productivity, labor markets and financial stability alongside questions about how to share AI’s gains. That scope placed the technology’s economic effects and its governance in the same discussion, rather than treating safeguards as a separate technical concern.
Clark argued that the current balance of oversight was inadequate. He contrasted the regulation of toys he buys for his children with what he called the “literal superintelligence” he works on. That was his characterization of the technology, not a finding announced by the panel. His policy argument was that decisions about AI cannot rest with companies alone.
He also offered a qualified note of optimism: work on policy frameworks was underway, and serious attention could make the risks manageable. But he warned that negligence could produce chaos. Georgieva likewise acknowledged the industry’s potential contribution to humanity, while arguing that the value of that contribution depended on preventing harm.
But it cannot only be companies making these decisions.
Jack Clark, Anthropic co-founder and head of policy
On employment, Georgieva described three patterns identified in IMF research. Her account distinguished changes to existing work from jobs created by spending around the AI boom. It also separated those opportunities from repetitive work that she said would disappear:
Georgieva said AI’s net employment impact would be positive, but warned that service jobs may pay poorly. She illustrated the concern with young people who might once have entered routine professional roles instead serving coffee at Starbucks. Her objection was not simply that jobs could vanish; replacement work might fall short of the careers young people expected to build.
Bank of Canada Governor Tiff Macklem drew a parallel with more open trade. He said trade had created wealth and lifted people out of poverty, while costing others their livelihoods as manufacturing moved abroad. Technology, like trade, could produce an overall benefit and still leave winners and losers. Without support for those losing out, he warned, the result could be a backlash.
Georgieva also identified basic conditions for spreading AI’s benefits: electricity, access to digital networks and cybersecurity. Her comments extended the distribution question beyond workers changing occupations. Reaching more people, in her account, also requires the infrastructure that lets them participate in the first place, together with protection for the digital systems on which that access depends.
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