Barclays, the British banking group, has made plans to cut about 5,000 jobs by the end of 2026 as it expands its use of artificial intelligence (AI) and technology to streamline operations and reduce costs.
The planned reduction represents approximately five percent of the bank’s global workforce, which stood at around 93,000 employees at the end of 2025. About 1,000 positions have already been eliminated, with a further 4,000 expected to go by the end of the year, according to the bank.
The cuts form part of a broader cost-reduction programme focused largely on Barclays’ UK retail banking operations, although its investment banking business will also be affected.
Some back-office functions supporting its UK operations are based in India, where a significant proportion of the job losses is expected to occur.
Barclays said about 60 percent of the planned reductions would affect support functions, including technology roles such as software developers, as AI increases employee productivity.
The development highlights how financial institutions are using automation and AI to improve operational efficiency, while raising questions about the technology’s implications for employment across the banking industry.
AI investment shapes workforce strategy
C.S. Venkatakrishnan, Barclays’ chief executive officer said the efficiency gains reflected years of investment in technology, infrastructure modernisation and simpler business processes.
He described AI as an important component of the bank’s strategy but cautioned against treating it as the sole driver of the restructuring.
The bank has been implementing a three-year programme to improve performance, simplify its operations and strengthen its technology infrastructure.
Venkatakrishnan said the bank intended to deploy AI at scale, adding that modern infrastructure was necessary to realise the technology’s full benefits.
The comments suggest that the job reductions are linked to a broader transformation programme involving technology upgrades, organisational restructuring and automation, rather than AI adoption alone.
Barclays expects its efficiency measures to generate more than £1.1 billion in additional savings in 2027.
Profit rises as bank reduces costs
The announcement came as Barclays reported a pre-tax profit of approximately £2.3 billion for the third quarter of 2026, up from about £2.1 billion in the corresponding period of 2025.
However, the bank’s quarterly income fell short of analysts’ expectations, despite stronger performance in some business segments.
Barclays also announced a further £500 million in shareholder distributions, taking the total returned to investors through dividends and share buybacks since January to approximately £2.8 billion.
The combination of workforce reductions, technology investment and shareholder payouts shows the bank’s focus on improving returns while managing its cost base.
Banking industry faces AI-driven restructuring
Barclays’ plans reflect a wider debate across the financial services industry about how AI could change staffing requirements, particularly in administrative, operational and technical functions.
Standard Chartered has also outlined plans to reduce its workforce by more than 7,000 positions over four years as it expands its use of AI and restructures its operations.
For banks, automation offers opportunities to process information faster, improve productivity and reduce the cost of routine work. However, the extent to which these benefits will translate into permanent job losses remains an important question.
In Barclays’ case, executives have linked the cuts to technology-led efficiency improvements, but have not attributed every planned job reduction directly to AI.
The bank’s restructuring illustrates both the growing role of AI in corporate cost management and the difficulty of separating the technology’s effects from wider organisational changes.
As financial institutions continue investing in AI, employees in support functions and technology teams may face increasing pressure to adapt to changing responsibilities and new operating models.