Morgan Stanley Sees European Banks Cutting 10%-20% of Jobs as AI Lifts Productivity 30%
Updated
Updated · Bloomberg · May 28
Morgan Stanley Sees European Banks Cutting 10%-20% of Jobs as AI Lifts Productivity 30%
3 articles · Updated · Bloomberg · May 28
European banks could cut 10% to 20% of their workforce over the next five years as AI adoption accelerates, Morgan Stanley analysts said in a Thursday research note.
AI could deliver productivity gains of about 30%, giving lenders room to reduce headcount in the shorter term, according to the analysts led by Giulia Miotto.
Much of the reduction is expected to come through voluntary departures, including retirements, rather than abrupt layoffs.
The forecast points to AI reshaping staffing across European banking as firms pursue efficiency gains from the technology.
With conflicting data on AI's impact, are European banks facing mass layoffs or a hiring boom for new skills?
As experienced bankers retire, can AI truly replicate the human judgment that financial institutions are rapidly losing?
Since most bank reskilling programs are failing, what does a successful workforce transformation for the AI era actually look like?
European Banking’s AI Revolution: Job Displacement, Efficiency, and the Future Workforce (2026–2030)
Overview
Between 2026 and 2030, European banking is set for a major transformation as artificial intelligence becomes fully integrated across the sector. This shift is already leading to significant job displacement, with major banks like ABN Amro and Standard Chartered reducing staff as they pivot towards AI-driven operations. Around 2.12 million employees will face the need for retraining or even leaving the industry. The main drivers are efficiency gains and adapting to new business models, but these changes also bring challenges, such as ensuring human oversight and managing the impact on both workers and customer experience.