HSBC is weighing up plans to cut as many as 20,000 jobs globally over the next three to five years as it accelerates the use of artificial intelligence to streamline operations, in what could become one of the most significant workforce reductions in modern banking.
According to reports, the lender is exploring how AI can reduce reliance on back- and middle-office roles, with up to 10 per cent of its 210,000-strong global workforce potentially affected. While the bank declined to comment, the proposals align with a broader strategic push under chief executive Georges Elhedery to simplify processes and reduce operational complexity.
In the UK, where HSBC employs around 34,700 people, a proportional reduction could see approximately 3,500 roles impacted. The bank’s domestic footprint spans retail banking, corporate operations and asset management, alongside its London headquarters.
The potential cuts form part of a wider transformation agenda as HSBC seeks to embed generative AI across the organisation. Speaking earlier this year, Elhedery said the bank was rolling out AI tools to all employees, aiming to both improve productivity and enhance customer-facing services through more personalised interactions.
“We want to simplify processes, procedures and policies and reduce complexity,” he said at the time, while also highlighting the role of AI in equipping frontline staff.
The review of headcount began before the recent escalation in the Middle East, underscoring that the move is driven by long-term structural change rather than short-term economic shocks. Since taking over in 2024, Elhedery has already reduced staffing through divestments and a sharper focus on HSBC’s core markets, particularly in Greater China.
A reduction on this scale would place HSBC at the forefront of an emerging trend across global finance, where automation is increasingly targeting traditional white-collar roles. Industry estimates suggest banks could eliminate up to 200,000 positions worldwide in the coming years as AI systems take over tasks such as compliance checks, document processing and client onboarding.
Recent announcements from other sectors reinforce the direction of travel. Amazon has outlined plans to cut 16,000 roles, while Hewlett-Packard expects to shed up to 6,000 jobs over three years, both citing efficiency gains from AI. In the UK, Close Brothers this week confirmed 600 job cuts as it deploys AI “at pace” to reduce costs.
For HSBC, the financial incentives are significant
The bank reported a wage bill of $19.6 billion last year, up 6 per cent, and is targeting $1.5 billion in annualised cost savings ahead of schedule. AI-driven efficiencies are expected to play a central role in achieving those targets.
Pam Kaur, HSBC’s chief financial officer, recently emphasised the dual benefit of AI adoption, highlighting both revenue opportunities and cost reductions. “We are focused on the benefits we can get through AI, whether it’s on better productivity around the revenue line or just the cost benefit,” she said.
The shift also reflects a broader evolution in workforce strategy, with HSBC increasingly adopting a performance-led model in which top performers receive a larger share of bonuses, while underperformers are encouraged to exit.
However, the scale of potential job losses raises questions about the pace at which AI can deliver tangible financial returns. A widely cited study last year found that the vast majority of corporate AI initiatives had yet to materially improve profitability, suggesting that expectations may still be running ahead of reality.
Even so, sentiment among large corporates appears to have shifted
Businesses are now more willing to act on anticipated gains from automation, betting that AI can meaningfully reshape cost structures without undermining service quality.
For HSBC, the outcome of its deliberations will be closely watched across the financial sector. If implemented, the cuts would not only mark a major restructuring for one of the world’s largest banks, but also signal a tipping point in how AI is transforming employment across global finance.
