Morgan Stanley has revised its forecast upward: European banks may cut 20% of their workforce due to AI.

      The May projection is double the bank’s January estimate, and staff reductions are already taking place at UBS, ABN Amro, and HSBC. Morgan Stanley has increased its forecast for AI-related job losses in the European banking industry, now estimating that up to 20% of total banking jobs could be removed by 2030 as banks integrate generative AI tools into their back-office, risk, and compliance processes. This updated estimate, reported by Bloomberg on Thursday, raises the forecast to around 400,000 jobs, up from the January prediction of 200,000 jobs, or 10%.

      The notable aspect is the doubling of figures. Five months ago, Morgan Stanley analysts suggested that AI implementation in the European banking sector would lead to about 200,000 cumulative job losses by the decade’s end, primarily affecting back-office positions, KYC and AML compliance roles, and middle-office risk-monitoring jobs. The May update maintains the same focus on job functions but significantly increases the overall number.

      The change in perspective over the past five months, according to the bank, is the speed at which individual European banks have started to openly commit to AI-driven restructuring, along with signals from earnings calls indicating that productivity improvements from generative AI deployment are materializing quicker than the optimistic 2025 projections anticipated.

      There is tangible evidence from various banks. ABN Amro revealed in November 2025 that it would reduce approximately 20% of its full-time workforce by 2028, mainly through automation. HSBC plans to cut around 20,000 jobs as AI takes over back-office functions, with CEO Georges Elhedery framing these reductions as stemming from productivity rather than cost-cutting. UBS, currently in the process of integrating Credit Suisse, has initiated a new round of layoffs in Switzerland, expecting to achieve about half of its $10 billion cost-saving goal by 2026.

      Société Générale’s CEO Slawomir Krupa stated in March that “nothing is sacred” regarding the bank's cost-cutting measures. BNP Paribas, the largest bank in the eurozone by assets, is aligning its AI-driven cost-saving efforts with a highly visible partnership with Mistral in foundational model development.

      A significant regulatory concern is whether European labor laws permit individual bank reductions on the scale Morgan Stanley now anticipates. Countries like France, Germany, the Netherlands, and Spain have works councils and collective bargaining rules that complicate quick workforce reductions compared to the more flexible US layoffs.

      The 20% estimate from Morgan Stanley assumes that the cuts will primarily occur through attrition, early retirement, and managed exit strategies over five years, rather than through immediate mass layoffs. Whether this regulatory framework remains intact should cost pressures increase is a different issue.

      Additionally, the stance of the European Central Bank (ECB) matters. The ECB's supervisory division has been actively urging eurozone banks to enhance their AI cybersecurity measures in light of threats from tools like Anthropic’s Mythos, which necessitates more technology and data engineering within banks, even as back-office staffing declines.

      According to Morgan Stanley’s analysis, the workforce transition will represent a structural reshaping rather than a simple reduction: data engineers, AI platform operators, and model-risk specialists will be prioritized, while traditional compliance officers and back-office personnel will be phased out.

      However, Morgan Stanley's 20% projection is a forecast, not an actual measure. The prior 10% estimate closely aligned with what publicly traded European banks have reported thus far, but the doubling indicated in the May revision presumes a conversion ratio of productivity advancements to job cuts that has yet to be demonstrated widely across the sector.

      The optimistic interpretation suggests that AI productivity could lead to 20% or more reductions in workforce; the more cautious view posits that the figure may fall between 10% and 20%, depending on how individual bank boards manage shareholder expectations against the political repercussions of substantial job losses in Europe.

      Regardless, the structural trend is unmistakable. By 2030, the European banking sector will be significantly smaller in terms of headcount than it is today. Whether the reduction will reach 200,000 jobs or 400,000 will influence the extent of the disruption felt in the broader European labor market.