Banks Are Preparing For Major Job Cuts As AI Takes Over More Work

Top banking CEOs say artificial intelligence will eliminate roles, with some firms already shrinking junior hiring while investing heavily in automation.

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Artificial intelligence (AI) is no longer being pitched as just another productivity tool in banking

Across the global financial sector, some of the industry's most powerful executives are openly acknowledging that AI will lead to fewer human workers, as banks increasingly automate tasks that were once handled by analysts, administrators, and support staff, a recent Bloomberg report stated.

Over the past year, senior leaders at major financial institutions have delivered unusually direct warnings about the impact AI could have on employment.

JPMorgan Chase chief executive Jamie Dimon said the technology "will eliminate jobs", while Citigroup CEO Jane Fraser acknowledged that some positions "will no longer be required".

Goldman Sachs president John Waldron has also described parts of the banking workforce as a "human assembly line" that could be automated.

According to the Bloomberg report, the comments have fuelled growing concerns across the industry that AI is moving beyond simply assisting workers and is beginning to replace them.

One of the clearest signs of that shift is emerging in hiring

According to Debasish Patnaik, senior partner at McKinsey's AI consulting arm QuantumBlack, some banks are reducing junior analyst intake by as much as two-thirds while simultaneously sourcing a large share of their AI talent from the same entry-level talent pool.

The trend suggests banks are becoming more selective about the roles they fill, even as they expand investments in AI capabilities.

Traditionally, banks relied on large classes of junior analysts to handle research, data gathering, financial modelling, compliance checks, and other labour-intensive work. Many of those functions are now among the easiest to automate using generative AI tools.

Employment experts say the latest wave of automation differs from previous technological shifts because it extends beyond routine administrative work.

David Parsons, an employment lawyer at Mishcon de Reya, noted that middle-office roles are particularly vulnerable, raising the possibility that AI could affect workers further up the corporate ladder than earlier automation technologies.

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At the same time, banks are rapidly deploying AI across multiple business functions

Citigroup is introducing an AI-powered wealth management assistant capable of providing clients with personalised financial guidance.

Barclays has rolled out AI tools that summarise customer service calls and monitor interactions to improve efficiency, while digital bank Revolut recently launched an in-app AI assistant designed to help customers manage spending and financial decisions.

Rather than creating fully autonomous banks, industry observers expect financial institutions to focus on targeted AI applications that streamline specific processes, reduce manual work, and improve operational efficiency.

Even so, questions remain over how far workforce reductions could go.

While executives frequently speak about retraining and reskilling employees, the report said there is still little clarity on how those programmes will work at scale if large portions of existing jobs become automated.

There are also legal and regulatory concerns.

Large-scale layoffs affecting specific categories of workers could expose firms to discrimination claims, particularly if certain groups are disproportionately impacted by automation-driven restructuring.

Not every bank is pulling back on recruitment.

Some institutions continue to hire interns and graduates, arguing that future leaders still need hands-on experience to develop the judgment and expertise required in senior positions.

But the broader direction of travel is becoming increasingly clear.

As banks invest billions into artificial intelligence, the industry's leaders are no longer debating whether jobs will be affected.

The conversation has shifted to how many roles will disappear, which functions will be most exposed, and whether workers can adapt quickly enough to keep pace.

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