For a generation of aspiring investment bankers, the entry ticket has been a stubbornly consistent list: a good degree, a discounted cash flow model built at two in the morning, and the stamina to survive the first eighteen months. UBS has just added a line to it.

Graduates and interns applying to join the Swiss bank’s global banking and markets division in 2027 will be asked to demonstrate how they have used artificial intelligence to improve outcomes and efficiency — and recruiters will put the question to them directly in interviews. The change, first reported by the Financial Times on September 6, 2026, citing people familiar with the matter, makes UBS one of the first major European lenders to write AI literacy into the formal hiring specification rather than treat it as a differentiator on a CV.

The bar is not whether an applicant has opened ChatGPT. According to the reporting, UBS wants candidates who can point to a concrete task, explain what they handed to a model, and articulate what came back that was better than what they would have produced alone. The bank is looking for evidence of practical application in analysis, research and client-facing work — and, crucially, evidence that the applicant experimented responsibly.

What UBS Is Actually Screening For

The requirement sits on top of the existing criteria rather than replacing any of them. Graduates are still expected to clear the traditional academic bar, including a 2:1 degree or its equivalent, and UBS has said AI capability complements academic, analytical and interpersonal skills rather than substituting for them. The bank has said it continuously reviews hiring criteria and that AI capability has become an important factor for future success as financial services are reshaped by the technology.

Candidates who make it through are then routed into an internal programme UBS calls the AI Fluency Pathway, part of its Graduate Talent Program, covering real-world banking use cases, responsible use, and the judgment needed to critically evaluate model outputs. That detail is arguably more revealing than the headline. A bank expecting finished expertise on day one would not need to build a training track. What UBS appears to want at the door is proof of use and a demonstrated willingness to learn.

The move is also not happening in isolation at the firm. UBS launched more than 300 AI use cases across its operations in 2025 and appointed its first chief AI officer, former JPMorgan analytics chief Daniele Magazzeni, in January 2026. According to the bank’s public technology disclosures, more than 38,000 employees have completed AI learning journeys and over 49,000 have enrolled in AI-related online courses since 2024, with more than 21,000 staff having earned an internal AI Citizen badge by July 2026.

Nor is UBS alone in the recruiting shift. Santander has reportedly sought advanced AI users for certain graduate programmes, a sign that AI screening is spreading through European banking rather than starting at one firm. UBS is also understood to be experimenting with analyst avatars capable of delivering video presentations to clients — the same job description viewed from the other end.

Why It Matters

Every entry-level banking story of the past two years has been a headcount story: how many graduates a bank takes, and how many it quietly stops taking. Morgan Stanley analysts have warned that more than 200,000 banking jobs in Europe could disappear over the next five years as lenders adopt AI and shutter branches. Against that backdrop, a hiring requirement reads almost like reassurance. UBS is still recruiting graduates. It has simply decided which ones.

That is the strategic tell. UBS is betting it can raise expectations for its intake rather than shrink it — extracting the productivity gains through capability rather than attrition. Chief executive Sergio Ermotti framed the broader programme on the firm’s fourth-quarter earnings call in February 2026: We are investing in a portfolio of large-scale transformational AI programs designed to increase our operational resilience, enhance the client experience and unlock higher levels of efficiency and effectiveness across the organization. He added that the bank was seeing increasingly strong adoption of AI across the firm, supported by our rollout of next generation tools and platforms to improve efficiency and productivity.

There is a catch buried inside the policy, and senior bankers have named it. JPMorgan’s EMEA co-head Conor Hillery has warned that firms must be careful not to let staff lose sight of the fundamentals as AI absorbs more routine work. The risk is structural: junior banking has always justified its brutality by calling itself an apprenticeship. Three years of building models badly until the judgment arrives. If the tasks that taught the trade have migrated to software, screening for AI proficiency at the interview stage does nothing to replace the learning those tasks provided. It may even select for candidates least likely to develop it.

There is a cost question too. The requirement quietly transfers part of the training burden onto applicants, who must now arrive having invested in AI fluency on their own time and their own budget — a subtle new filter in a pipeline already criticised for favouring the well-resourced.

What to Watch

Three things will show whether this is a genuine redesign or a recruiting-brochure update. First, whether UBS extends the requirement beyond the 2027 global banking and markets intake to other divisions and, eventually, to existing staff — a step the bank has not committed to. Second, whether rivals follow: Goldman Sachs and JPMorgan have been trimming analyst classes rather than respecifying them, and a shift in that posture would confirm the industry has settled on capability over headcount. Third, and slowest to resolve, whether the AI Fluency Pathway can actually substitute for the apprenticeship it is partly displacing.

That last answer will not arrive for a decade, when the class of 2027 is running deals of its own.

“We are investing in a portfolio of large-scale transformational AI programs designed to increase our operational resilience, enhance the client experience and unlock higher levels of efficiency and effectiveness across the organization.”
— Sergio Ermotti, Chief Executive Officer, UBS Group
200,000+
European banking jobs at risk within five years
38,000
UBS staff who completed AI learning journeys since 2024
21,000+
UBS staff holding the AI Citizen badge
300+
AI use cases launched across UBS in 2025