Barclays to cut 5,000 jobs, citing AI-driven efficiency
The UK bank is eliminating about 5% of its global workforce as part of a modernization drive it says AI is now accelerating.
What happened: Barclays announced it is cutting 5,000 jobs, roughly 5% of its global workforce, alongside third-quarter results. About 1,000 roles have already gone, with 4,000 more expected by the end of this year. The bank said about 60% of the cuts will hit support functions, including developer roles, with the reductions concentrated in its UK retail bank. Some of the affected back-office work is based in India, where a significant share of the losses are expected to fall.
Why it matters: This is a major British bank explicitly linking job losses to AI while simultaneously reporting higher profit. Pre-tax profit rose 12% year on year to £2.3 billion, even though group income and other measures came in below analyst forecasts and profitability metrics like return on tangible equity actually fell. That combination, cuts plus rising profit, is exactly the pattern economists say they are watching for as evidence AI is starting to change company payrolls rather than just company software.
How it works, plainly: Barclays frames this as the tail end of a three-year cost-cutting and modernization program, not a sudden AI pivot. CEO C.S. Venkatakrishnan described AI as the 'icing on the cake, not the cake,' arguing the bank first had to rebuild its technology infrastructure before AI tools could meaningfully reduce the need for staff. The earnings presentation credited 'organisational simplification and technology change efficiency driven by AI' as a specific outcome of the restructuring, alongside the infrastructure investment.
The rollout: Barclays expects its broader efficiency push to generate a further £1.1 billion in savings in 2027, suggesting more changes to come after this round of cuts completes by year-end. Outside analysts were split on how to read it: one called it the bank 'reaching for the AI lever' after missing financial targets, while another said it shows how AI and automation are reaching a point where years of tech spending are translating into fewer people needed to run day-to-day banking operations.