Morgan Stanley has revised its forecast, suggesting that European banks may eliminate 20% of their jobs due to AI.

Morgan Stanley has revised its forecast, suggesting that European banks may eliminate 20% of their jobs due to AI.

      The May estimate is double the bank’s figure from January, and job reductions are already underway at UBS, ABN Amro, and HSBC. Morgan Stanley has raised its forecast for AI-related job losses in the European banking sector, predicting that as much as 20% of total banking jobs could be cut by 2030 as banks integrate generative-AI tools into their back-office, risk, and compliance processes. The updated estimate, reported by Bloomberg on Thursday, increases the prediction to about 400,000 jobs from the initial 200,000-job, 10% estimate released in January.

      The fact that the forecast has doubled is noteworthy. Five months ago, Morgan Stanley analysts suggested that the use of AI in the European banking sector would lead to approximately 200,000 cumulative job eliminations by the end of the decade, primarily affecting back-office roles, KYC-and-AML compliance, and middle-office risk-monitoring positions. The May update retains the same functional focus but significantly elevates the overall figure.

      According to the bank, the change in the last five months reflects the accelerated commitment of individual European banks to AI-driven restructuring, along with indications from earnings calls that productivity improvements from generative-AI deployment are occurring more quickly than originally predicted for 2025.

      Evidence from various banks supports this. ABN Amro revealed in November 2025 that it intends to cut about 20% of its full-time workforce by 2028, mainly through automation. HSBC plans to reduce approximately 20,000 jobs as AI takes over back-office duties, with CEO Georges Elhedery explicitly stating that these reductions are driven by productivity rather than just costs. UBS, still navigating the integration of Credit Suisse, has initiated a new round of layoffs in Switzerland, which the bank believes will help achieve roughly half of its targeted $10 billion cost-saving plan by 2026. Meanwhile, Société Générale's CEO Slawomir Krupa noted in March that “nothing is sacred” in their cost-reduction strategy. BNP Paribas, the eurozone’s largest bank by assets, has combined its AI-related cost reduction efforts with a notable partnership with Mistral in the foundation-model space.

      The crucial regulatory question is whether European labor laws allow for bank-by-bank workforce reductions at the scale Morgan Stanley predicts. Countries like France, Germany, the Netherlands, and Spain have labor structures that complicate rapid job cuts compared to the more flexible at-will layoffs common in the U.S. Morgan Stanley’s 20% estimate assumes that job cuts will primarily occur through attrition, early retirement, and managed exit programs over a five-year period, rather than through mass layoffs. It remains to be seen whether the regulatory framework can hold if cost pressures increase.

      The perspective of the ECB is also important. The European Central Bank's supervisory branch has been urging eurozone banks to enhance their AI cybersecurity measures in response to threats from tools like Anthropic’s Mythos, which necessitates a greater capacity for technology and data engineering within banks, even as back-office staff numbers are reduced.

      Ultimately, Morgan Stanley's analysis suggests that the workforce change will be a structural recalibration rather than merely a reduction: roles for data engineers, AI-platform operators, and model-risk specialists will increase, while traditional compliance officers and back-office processors will decline. However, Morgan Stanley’s 20% estimate is a projection rather than a definite figure. The earlier 10% estimate aligned reasonably well with what publicly listed European banks have reported so far, but the assumption behind the May revision implies a conversion ratio of productivity gains to headcount cuts that has yet to be proven on a large scale across the sector.

      The optimistic view is that AI-driven productivity will smoothly translate into reductions exceeding 20% of the workforce; a more cautious assessment might place the figure between 10% and 20%, depending on how individual bank boards weigh shareholder demands against the political ramifications of significant job losses in Europe. Regardless, the emerging trend is clear: the European banking industry is set to become considerably smaller in terms of headcount by 2030 compared to its current size. Whether job losses will reach 200,000 or 400,000 will influence the overall impact of this transition on the broader European labor market.

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Morgan Stanley has revised its forecast, suggesting that European banks may eliminate 20% of their jobs due to AI.

Morgan Stanley has increased its prediction for job losses in European banking due to AI to 20% of the workforce by 2030, having previously estimated a lower figure. Layoffs are already happening at UBS, ABN Amro, HSBC, and Société Générale.