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Governments and companies pay specialists to imagine the future. What if AI does the job instead? A survey of 167 foresight experts across 55 countries finds that AI is used by two-thirds of them. A large gap however divides public and private sector. 93 per cent of private-sector respondents say they have the skills to deploy it, against 53 per cent in the public one. Three integration levels are documented: => Augmentation: AI handles synthesis, scanning and sense-making, supplemental to human-led work => Sparring partner: AI generates ideas, stress-tests content, accelerates scenarios => Integrated workflow: customised tools across the cycle, with automated signal detection What the survey cannot answer however, is whether AI improves foresight or just speeds it up. Practitioners point to hallucination, opaque sourcing and limited inductive reasoning as their main concerns, but the underlying issue is methodological. Foresight depends on weak signals and low-probability outcomes, the territory where models trained on existing knowledge perform worst. The OECD and WEF have mapped how the practice is changing. We at AI World track the technology behind it, across investment, research and adoption. Credit to the authors for evidence on a profession reshaping its toolkit: Rafał Kierzenkowski, Piret Tõnurist, Stephan Mergenthaler, Erik Crouch, Bryonie Guthrie #AIGovernance #AIAdoption #StrategicForesight

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