Barclays plans to cut approximately 5,000 jobs across its global workforce in 2026 as the British banking group increases its use of artificial intelligence and automation to reduce operating costs and improve profitability.
The reductions, representing around 5% of its workforce, form part of a broader restructuring programme intended to simplify operations and deliver sustainable cost savings. Barclays has already eliminated approximately 1,000 positions, with a further 4,000 expected to disappear before the end of the year, according to group finance director Anna Cross.
The announcement accompanied Barclays' third-quarter financial results, which showed pre-tax profit rising 12% to £2.3 billion from £2.1 billion a year earlier. However, the result fell below analysts' £2.4 billion forecast, reflecting weaker performance in parts of its investment banking division. Fixed-income trading revenue declined 19%, while equities trading revenue increased 47%.
Chief executive C.S. Venkatakrishnan has placed operational efficiency at the centre of Barclays' strategy, with technology investment increasingly influencing staffing requirements. Around 60% of the planned reductions are expected to affect support functions, including technology and development roles, where automation is changing how routine work is performed.
The restructuring follows Barclays' decision to expand its artificial intelligence partnership with Anthropic, the developer of Claude. Announced on 1 October, the collaboration aims to modernise legacy technology, accelerate software development and improve efficiency across the banking group.
Barclays expects 50% of its developers to be using Claude Code by the end of 2026, with adoption extending to a majority of software engineers in 2027. More than 16,000 employees already use its AI-powered knowledge assistant, while another application helps process approximately 120,000 emails daily within its Global Markets operations.
These developments illustrate how artificial intelligence is moving beyond experimental projects towards measurable changes in banking operations. Productivity improvements can allow financial institutions to process greater volumes of work without increasing employee numbers at the same rate, potentially reducing the fixed costs associated with business expansion.
However, technology-driven restructuring also creates financial challenges. Banks must balance anticipated savings against implementation expenditure, redundancy costs, cybersecurity requirements and the continuing expense of maintaining established technology systems.
Barclays recorded £201 million in structural cost measures during the third quarter, highlighting the upfront expenditure associated with its efficiency programme. The bank has also announced a £500 million share buyback, demonstrating its continued focus on capital returns despite ongoing restructuring.
For CFOs and finance directors, the central question is whether investment in artificial intelligence can produce sustainable improvements in operating margins rather than temporary reductions in expenditure. Assessing those returns requires reliable productivity measurements, clear implementation costs and evidence that automated processes maintain appropriate service standards.
Financial institutions must also consider the governance implications of increasingly automated operations. AI applications handling customer information, financial transactions and internal processes require effective controls, human oversight and resilience against operational failures.
Barclays' restructuring represents a significant test of whether artificial intelligence can deliver lasting efficiency gains across a major international bank. Its financial performance over the coming quarters will help determine whether lower staffing costs, technology investment and operational simplification translate into stronger returns without compromising service quality or risk management.
