HSBC is considering plans to cut up to 20,000 jobs worldwide over the next three to five years to accelerate its use of artificial intelligence to streamline operations. This could become one of the most significant workforce reductions in modern banking.
The lender is reportedly exploring how AI can reduce reliance on back and middle office roles, potentially affecting up to 10 percent of its 210,000 employees worldwide. While the bank declined to comment, the proposals are in line with a broader strategic push under CEO Georges Elhedery to simplify processes and reduce operational complexity.
In the UK, where HSBC employs around 34,700 people, a proportional reduction could affect around 3,500 jobs. In addition to its headquarters in London, the bank’s domestic presence includes retail banking, corporate operations and wealth management.
The potential cuts are part of a broader transformation agenda as HSBC looks to embed generative AI across the business. In a speech earlier this year, Elhedery said the bank was rolling out AI tools to all employees with the aim of both increasing productivity and improving customer-facing services through more personalized interactions.
“We want to simplify processes, procedures and policies and reduce complexity,” he said at the time, while emphasizing the role of AI in equipping frontline staff.
The headcount review began before the recent escalation in the Middle East and underlines that this move reflects long-term structural changes rather than short-term economic shocks. Since taking over in 2024, Elhedery has already reduced headcount through divestitures and a greater focus on HSBC’s core markets, particularly in Greater China.
A reduction of this magnitude would put HSBC at the forefront of an emerging trend in global finance, where automation is increasingly targeting traditional white-collar workers. Industry estimates suggest that banks could cut up to 200,000 jobs worldwide in the coming years as AI systems take over tasks such as compliance checks, document processing and customer onboarding.
Recent announcements from other industries confirm the direction. Amazon has outlined plans to cut 16,000 jobs, while Hewlett-Packard expects to cut up to 6,000 jobs within three years, with both citing efficiency gains from AI. In the UK, Close Brothers confirmed this week it would cut 600 jobs as it uses AI “at a rapid pace” to cut costs.
For HSBC, the financial incentives are significant. The bank reported $19.6 billion in payroll last year, up 6 percent, and is targeting $1.5 billion in annual cost savings ahead of schedule. AI-driven efficiencies are expected to play a central role in achieving these goals.
Pam Kaur, chief financial officer at HSBC, recently highlighted the dual benefits of AI adoption, highlighting both revenue opportunities and cost reductions. “We’re focused on the benefits we can achieve through AI, whether it’s better productivity along the revenue frontier or just the cost advantage,” she said.
The shift also reflects a broader evolution in human resources strategy, with HSBC increasingly adopting a performance-based model, with top performers receiving a larger share of bonuses while underperformers are encouraged to leave.
However, the scale of potential job losses raises questions about how quickly AI can deliver tangible financial returns. A widely cited study last year found that the vast majority of companies’ AI initiatives have not yet significantly improved profitability, suggesting that expectations may still be higher than reality.
Nevertheless, the mood among large companies seems to have changed. Companies are now more willing to respond to the expected benefits of automation and trust that AI can meaningfully reshape cost structures without compromising service quality.
For HSBC, the outcome of its deliberations will be closely monitored across the financial sector. If implemented, the cuts would not only represent a major restructuring for one of the world’s largest banks, but also signal a turning point in the way AI is transforming employment in global finance.
