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UK AI minister admits £400B economic estimate came from Google-commissioned report

UK AI minister Kanishka Narayan revealed last week that the government’s widely cited £400 billion estimate for AI’s economic impact was based on a 2023 report commissioned by Google. The report, produced by consultancy PF Global, used assumptions about faster AI adoption than the government’s own projections, which now range from £55 billion to £140 billion by 2030, with a central estimate of…

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Key points

  • UK AI minister admits £400B estimate came from Google-commissioned 2023 report by PF Global
  • Government’s own projections now range from £55B to £140B by 2030, with £120B central estimate
  • PF Global says slower adoption explains gap, but critics call it industry-funded hype

Critics, including Labour MP Dame Chi Onwurah and the Ada Lovelace Institute, argue the discrepancy highlights risks of industry-funded research shaping policy. PF Global’s Jonathan Dupont attributed the gap to slower-than-expected AI adoption in government workflows. The Cabinet Office and Google declined comment, but PF Global insisted its work remained independent. The debate underscores broader concerns about AI hype versus realistic economic benefits.

Read the original at Wired AI · by Ben GartsideOpen source ↗
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GooglePF GlobalSkills EnglandCabinet OfficeKanishka NarayanJonathan DupontDame Chi OnwurahLord Holmes of RichmondPeter KyleSumedha Deshmukh

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