28MAR

UK projects 3.9 million AI jobs by 2035

1 min read

19:20UTC

The government's own figures show 90% of net new jobs will be professional-tier. The workers being displaced will not fill them.

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EconomicDeveloping

Key takeaway

Ninety per cent of projected UK AI jobs require professional-tier qualifications.

In January, the UK Government published projections showing AI-direct employment rising from 158,000 jobs in 2024 to 3.9 million by 2035, with up to 9.7 million in AI-related occupations. ¹ Ninety per cent of net employment growth falls in professional and associate professional roles. Declines concentrate in administrative, secretarial, and skilled trades.

AI roles are growing, but the workers being displaced from clerical and administrative positions are not the ones who will fill them. The government's own data amounts to an admission that displacement will fall disproportionately on mid- and lower-tier workers, while new opportunities cluster among those who least need them.

Deep Analysis

In plain English

The UK Government projects that jobs specifically related to AI will grow from 158,000 today to 3.9 million by 2035. That sounds like good news. The catch is that nine in ten of those new jobs will require professional or higher-level qualifications. The workers being displaced from clerical and administrative roles by AI are not typically those who will be hired for professional AI roles. The government's own figures confirm that the gains and losses will fall on different people.

What could happen next?

Meaning
Official UK projections confirm that AI job creation and AI job displacement affect different segments of the workforce, making aggregate employment growth statistics misleading as a welfare measure.

Sources:UK Government

Mentions:UK Government →

First Reported In

Update #3 · The AI jobs data contradicts itself

UK Government· 28 Mar 2026

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Causes and effects

This Event

UK projects 3.9 million AI jobs by 2035

Official UK projections confirm that AI job creation concentrates at the top, leaving displaced workers without a path.

Led to

UK AI job losses double the norm

UK government projection that AI jobs cluster in professional roles explains why 8% net job loss falls disproportionately on non-professional workers.

Occurred 30 Mar 2026

Read story →

Different Perspectives

European Commission

The European Commission's draft Annex III guidelines, closed for comment on 23 July, treat algorithmic scoring in recruitment, pay and termination as high-risk regardless of whether a human signs off, echoing Spain's Audiencia Nacional ruling 101/2026 on concealed scheduling algorithms. Brussels is shifting the fight from counting AI job losses to assigning legal liability for the tools themselves.

Office for National Statistics

The Office for National Statistics recorded UK vacancies rising to 712,000 on 21 July, the first quarterly increase this beat has tracked, with payrolled employment down 85,000 on the year against May's 210,000 fall. The bulletin names no AI cause anywhere, and that is the point: nothing in the release confirms the displacement story it gets cited to support.

Christian Klein, SAP

Christian Klein told investors on 23 July that SAP's research headcount will not grow for twelve months because AI agents and their token costs are absorbing the work, not because SAP is cutting jobs. He frames it as commercial arithmetic: the cost of AI-assisted coding tokens plus the salaries specialist AI hires command, not people being replaced by machines.

Betsey Stevenson, University of Michigan

Betsey Stevenson argued that the 187,000 jobless-claims reading describes a market that hires little and fires little, not one AI is emptying. She said the real damage hides in eligibility rules and suppressed job postings, not in the headline layoff counts employers keep denying.

Comisiones Obreras, UGT and Concentrix's A Coruña works committee

Comisiones Obreras, UGT and Concentrix's A Coruña works committee blamed Microsoft's push toward AI self-service for the 80 redundancies unions signed off on 22 July, not unavoidable business cause. A second Coruña procedure covering 80 more jobs runs to a 31 August deadline, and the unions want the state, not the employer, setting the pace of AI-driven cuts.

Stanford's 'We Must Act Now' signatories

More than 200 academics, including 16 Nobel laureates, published a 13 July letter warning of AI-driven labour disruption, citing Daron Acemoglu's NBER estimate that AI's total factor productivity gain stays under 0.66% over ten years. The letter's own cited economics sit well below Goldman Sachs Research's 1.5-percentage-point estimate published the same week.