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

      The May estimate is now double the bank's January figure, with workforce reductions already taking place at UBS, ABN Amro, and HSBC. Morgan Stanley has increased its forecast for AI-related job losses in the European banking sector, suggesting that up to 20% of total banking jobs could be eliminated by 2030 as banks implement generative-AI tools in back-office, risk management, and compliance operations. This updated estimate, reported by Bloomberg on Thursday, raises the projection to approximately 400,000 jobs from the earlier figure of 200,000, which accounted for a 10% reduction that was presented in January.

      The significant change in the forecast merits attention. Five months prior, Morgan Stanley analysts asserted that AI integration in the European banking industry would lead to an elimination of around 200,000 positions by the end of the decade, primarily affecting back-office, KYC-and-AML compliance, and middle-office risk-monitoring roles. The May update maintains the same focus on job types but increases the overall number substantially.

      According to the bank, the change over the past five months has been the speed at which individual European banks have started to publicly endorse AI-driven restructuring, accompanied by earnings-call indications that productivity improvements from generative AI deployment are occurring faster than previously optimistic 2025 projections suggested.

      The evidence from various banks supports this trend. ABN Amro announced in November 2025 that it plans to reduce its full-time workforce by around 20% by 2028, mainly through automation. HSBC has stated it will cut about 20,000 jobs as AI takes over back-office work, with CEO Georges Elhedery clarifying that these reductions are driven by productivity improvements rather than cost-cutting. UBS, still managing the integration of Credit Suisse, has initiated a new wave of cuts in Switzerland, which the bank anticipates will meet half of its goal of $10 billion in cost savings by 2026. Société Générale's CEO Slawomir Krupa mentioned in March that “nothing is sacred” in the bank’s cost-reduction strategy. BNP Paribas, the largest bank in the eurozone by assets, is pursuing AI-driven cost initiatives in conjunction with a notable partnership with Mistral in foundation models.

      A crucial regulatory consideration is whether European labor laws allow for the scale of reductions Morgan Stanley is now anticipating, as countries like France, Germany, the Netherlands, and Spain have works councils and collective bargaining arrangements that make swift workforce reductions considerably more difficult than in the US, where at-will layoffs are common.

      Morgan Stanley's 20% estimate suggests that these job cuts would mainly occur through attrition, early retirements, and managed exit programs over a five-year period rather than through mass layoffs. Whether this regulatory framework will hold if cost pressures become more intense is another matter.

      The stance of the European Central Bank (ECB) is also significant. The ECB's supervisory body is encouraging eurozone banks to enhance their AI cybersecurity measures in light of threats from tools like Anthropic’s Mythos, which requires increased technology and data engineering capabilities in banks, even as headcounts in back-office operations are reduced.

      Ultimately, according to Morgan Stanley's analysis, the shift in workforce will constitute a structural reorganization rather than a straightforward reduction: jobs for data engineers, AI-platform operators, and model-risk specialists are increasing, while traditional compliance officers and back-office processors are declining.

      However, it's important to note that Morgan Stanley's 20% figure is a projection rather than a proven fact. The earlier 10% estimate aligned with the actual disclosures from listed European banks thus far; however, the May revision's doubling presupposes a conversion ratio of productivity gains to headcount reductions that has yet to be validated on a large scale in the industry.

      The optimistic perspective is that AI-driven productivity improvements will seamlessly translate into workforce reductions of 20% or more; on the other hand, a more cautious outlook suggests the figure might fall between 10% and 20%, depending on how individual bank boards weigh shareholder pressures against the political consequences of significant job losses in Europe.

      Regardless of whether the cuts reach 200,000 or 400,000 jobs, the transition's impact on the broader European labor market will be significant, indicating that the European banking sector will have notably fewer employees by 2030 than it does today.