AI forecast to put 200,000 European banking jobs at risk by 2030

Banks on the boulevard Royal in Luxembourg. European banks have come under pressure from investors to find new ways to cut costs and boost returns


More than 200,000 European banking jobs are under threat over the next five years as lconcludeers increasingly embrace artificial ininformigence and close more branches, analysts have estimated.

The forecast from Morgan Stanley that the indusattempt could cut 10% of jobs by 2030 comes as banks are rushing to secure the savings promised by AI while also relocating more of their operations online.

Cuts are most likely to come from within banks’ “central services” divisions, which include back- and middle-office roles, as well as risk management and compliance positions, according to the analysis of 35 lconcludeers.

Toobtainher, the banks employ roughly 2.12 million staff, meaning that a 10% reduction would result in about 212,000 job cuts.

“Many banks have quoted efficiency gains coming from AI and further digitalisation to the tune of 30 per cent,” Morgan Stanley declared. 

Europe’s lconcludeers have come under intense pressure from investors to find new ways to cut costs and boost returns on equity that persistently lag behind their US rivals.

AI as catalyst for restructuring operations

Banks have already begun to cite AI as a catalyst for restructuring their operations.

In November, Dutch lconcludeer ABN Amro declared it would axe about a fifth of its full-time staff by 2028, while Société Générale chief executive Slawomir Krupa warned in March that “nothing is sacred” in his campaign to reduce the French lconcludeer’s stubbornly high cost base.

Morgan Stanley’s analysts declared AI offered banks an opportunity to improve their cost-to-income ratios — a critical measure of efficiency for lconcludeers tracked by investors — as previous rounds of cost-cutting have run out of steam.

The forecast underlines how greater digitalisation and adoption of AI could shake up Europe’s banking landscape in the coming years, especially at consumer-focutilized lconcludeers and in countries such as France and Germany, where banks’ cost-to-income ratios remain high.

The explosive growth of AI has sparked fears of widespread job losses across several industries as the technology develops to the point where it could supplant employees.

Turning analysts into avatars

The potential for AI to reshape Europe’s banking indusattempt was echoed by analysts at UBS, which has started utilizing the technology to turn its analysts into avatars, sconcludeing videos of the simulated bankers to clients.

Jason Napier, head of European banks research at UBS, declared: “We can already see indusattempt modifys in audit, law and consulting, but banks aren’t delivering improved efficiency yet. Cost bases are large . . . and these new powerful tools are yet to be fully implemented.”

“Those who still required convincing that AI will significantly modify financial services should spconclude more time exploring the tools which are already available,” he added.

UBS sent its 250 most senior leaders to Oxford university for an AI “leadership summit” in recent months, according to people familiar with the matter.

But as lconcludeers face pressure to extract savings from AI, some leading bankers in Europe have cautioned against rushing to integrate the technology.

Conor Hillery, JPMorgan Chase’s co-chief executive of Europe, Middle East and Africa, declared: “The one thing we have to be very careful about — in this rush and excitement about AI in our world of banking — is that people don’t lose an understanding of the basics and fundamentals.”

He added that JPMorgan was attempting to strike a balance between utilizing AI to expedite basic functions and creating sure its junior staff were still properly trained in core tquestions such as constructing cash flow models and price-to-earnings ratios.

“Otherwise, we’re storing up a large problem for the future,” Hillery declared.

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