Key points
- The UK government’s central estimate for AI’s economic benefit is now £120 billion, significantly lower than the previously cited £400 billion figure.
- The original £400 billion number originated from a 2023 report commissioned by Google and produced by the consultancy Public First.
- AI minister Kanishka Narayan described the new estimate as "hugely uncertain" and noted it assumes a slower rate of AI adoption than earlier models.
UK AI minister Kanishka Narayan stated that artificial intelligence could add between £55 billion and £140 billion to the UK economy by 2030, with a central estimate of £120 billion.reported This disclosure came during a parliamentary question regarding the technology’s economic impact, marking a significant shift from previous government communications. The minister characterized this updated range as a "hugely uncertain" estimate, reflecting the evolving nature of the technology and its integration into the broader economy. This admission clarifies the gap between earlier high-profile claims and current internal projections.
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
What it does
The revised figures represent the UK government’s current assessment of AI’s potential economic contribution. Narayan explained that the previous £400 billion figure was drawn from a publicly available 2023 report commissioned by Google and produced by Public First, a British consultancy now known as PF Global.reported This distinction highlights the difference between external corporate-commissioned research and internal government projections.
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
How to get it
These figures were revealed through official parliamentary records rather than a formal policy document or press release. Narayan’s answer provided the first recorded evidence of the government setting the two numbers side by side. He did not withdraw the £400 billion figure or explicitly state that it was wrong, but the context of the question made the disparity clear.reported
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
Limits
The primary limit cited for the lower estimate is the assumed rate of AI adoption. Jonathan Dupont, head of economics at PF Global, told Wired that the disparity arises because the government’s model assumes a much slower adoption rate than the 2023 model considered possible.reported Narayan emphasized the uncertainty inherent in these projections.
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
The takeaway
The UK government has been using the £400 billion figure for nearly two years under two different administrations.reported Ministers have possessed the lower estimate since at least November 2025, yet agencies like Skills England continued publishing the old figure four months later.reported This lag indicates a disconnect between internal assessments and external communications. The admission suggests that earlier claims relied on a higher adoption rate than the government now models, relying on assumptions that have since been updated to reflect slower expected uptake.
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
Building on this
Data science teams can use these documented ranges to calibrate internal projections for AI-driven efficiency gains. The explicit acknowledgment of "hugely uncertain" estimates signals that long-term ROI models should incorporate wide confidence intervals rather than single-point forecasts. Developers should note that the gap between external commissioned reports and internal government models stems from adoption rates, suggesting that pilot programs must track integration speed closely.reported Teams can build scenarios based on the £55 billion to £140 billion range, avoiding reliance on the higher, externally sourced figures that may not reflect actual implementation timelines.reported
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
Evidence: reported
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Googleaifleet-wired
Why it matters
- Data science teams can adjust economic impact models to reflect the £120 billion central estimate rather than the inflated £400 billion figure.
- The explicit uncertainty noted by the minister suggests that long-term AI ROI projections should include wider confidence intervals.
- The lag between internal estimates and public communication highlights the need for teams to verify the source of economic claims in stakeholder reports.
- The attribution of lower figures to slow adoption rates provides a concrete variable for teams to monitor in their own implementation strategies.
Updated
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- The UK government’s central estimate for AI’s economic benefit is now £120 billion, significantly lower than the previously cited £400 billion figure.
- The original £400 billion number originated from a 2023 report commissioned by Google and produced by the consultancy Public First.
- AI minister Kanishka Narayan described the new estimate as "hugely uncertain" and noted it assumes a slower rate of AI adoption than earlier models.