28MAR

Close Brothers cuts 600, blames AI

1 min read

19:20UTC

A UK banking group announced layoffs one day after a short-seller flagged a billion-pound liability. AI was named as a reason. It may not be the real one.

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EconomicAssessed

Key takeaway

Close Brothers cited AI for job cuts one day after a short-seller flagged a billion-pound liability.

Close Brothers, a UK banking group, announced 600 job cuts on 23 March as part of an £85 million cost-cutting programme, citing AI deployment and offshoring. ¹ The announcement came one day after a short-seller warned of a £1.2 billion hit from the car finance scandal.

AI and offshoring appear in the same sentence. When companies face financial pressure from multiple directions, AI becomes a convenient explanation for cuts that serve other purposes, precisely the pattern the "AI-washing" thesis predicted .

Deep Analysis

In plain English

Close Brothers is a UK bank that announced it was cutting 600 jobs, naming AI and offshoring as the reasons. The announcement came one day after a short-seller, an investor betting the company will fall, warned that the bank faces a billion-pound liability from mis-sold car finance deals. When a company is under financial pressure and then blames AI for job cuts, it is worth asking whether AI is the real reason or a more palatable explanation for cuts that equity markets will reward regardless of cause.

What could happen next?

Meaning
Close Brothers adds to the AI-washing evidence base: companies under separate financial pressure citing AI for cuts that serve balance-sheet rather than efficiency objectives.

Sources:Yahoo Finance / AJ Bell·Yahoo Finance / AJ Bell

Mentions:Oxford Economics →Close Brothers →

First Reported In

Update #3 · The AI jobs data contradicts itself

Yahoo Finance / AJ Bell· 28 Mar 2026

Read original →

Causes and effects

This Event

Close Brothers cuts 600, blames AI

Close Brothers illustrates how financial pressure and AI attribution blur together in corporate restructuring announcements.

Led to

UK models a half-million AI job shock

Close Brothers 600 UK banking job cuts citing AI are an early signal in the trend OBR and BoE are now modelling at systemic scale.

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.