Here is a sentence that would have read like satire three years ago: a global investment bank now lists AI fluency alongside degree grades as a condition of hiring its juniors. The Financial Times reported on Sunday that UBS, Europe’s largest bank, will require prospective graduates and interns joining its global banking and markets divisions in 2027 to demonstrate how they can use AI to “improve outcomes and efficiency.”
The requirement sits next to the usual academic bars — candidates must still be on track for the traditional undergraduate grade threshold. But AI literacy is now an explicit, testable hiring criterion at one of the world’s biggest lenders, with AI questions reportedly being added to recruitment interviews and, according to the FT’s sources, extending to newly advertised roles across the wider firm.
What UBS is actually asking for
This is worth being precise about, because the detail is less dramatic than the headline. UBS told the FT that AI literacy “complements, rather than replaces, the academic, analytical and interpersonal skills that remain core to our approach to hiring talent.” Nobody is replacing the finance degree with a prompt-engineering certificate. The bank is asking candidates to show they have already used the tools — to describe real cases where AI improved an outcome, not to recite a list of products.
UBS has form here. The bank has experimented with AI-generated analyst avatars that can deliver video presentations to clients, which it argues frees staff for more productive work. Whether clients agree is a fair question — but the hiring signal doesn’t depend on it. The bar has moved from “you should probably be comfortable with these tools” to “we will ask you, in an interview, how you used them.”
The broader shift: AI skills are becoming a filter, not a bonus
UBS is not alone in this direction. Bank of America has discussed AI changing its internships, LinkedIn’s own hiring data has pushed AI literacy up the skills rankings, and PwC’s 2026 Global AI Jobs Barometer found the average wage premium for AI skills reached 62 percent this year, up from 57 percent. When a skill commands a premium that large, it stops being a differentiator and starts becoming a filter — employers move from paying extra for it to screening for it.
That transition is what makes the UBS story worth more than one bank’s recruiting policy. It is an early, explicit example of what happens to any premium: it gets institutionalised. The 2027 intake will be the first class hired under a rule that assumes AI use is baseline professional competence.
For students and early-career workers, the practical read is uncomfortable but simple. Coursework, grades and internships remain the table stakes. The new differentiator — rapidly becoming the new baseline — is a concrete, honest account of what you have actually built or improved with AI tools. Not a certificate. A story with specifics.
What it means for New Zealand
New Zealand’s graduate market is already tight — SEEK’s NZ Employment Report showed job ads hitting their highest volume since 2024 in May, while applications per ad remained elevated, and PwC’s NZ barometer found AI-related job ads more than doubled in a year. A big-bank hiring bar on the other side of the world doesn’t dictate NZ practice, but the direction of travel is clear enough that local employers will read it the same way NZ bankers read it: if UBS is testing for this in interviews, “tell me how you’ve used AI” stops being an unusual question everywhere.
There’s a specific NZ wrinkle worth naming. Our banking sector — the Australian-owned majors that dominate NZ retail and institutional banking — has been steadily rolling out AI copilots across its NZ operations. When graduate recruitment here follows the same path, the question for NZ students won’t be whether AI literacy is asked about, but whether our tertiary system is producing graduates who can answer honestly. A graduate who has never once used an AI tool at university is about to be interviewing at firms where that is the first thing anyone asks about.
The fair caveat: one bank’s requirement, reported through unnamed sources alongside an official statement, is a signal — not a labour-market law. Plenty of employers still have no AI expectations at all. But hiring bars move in herds at the top of the market, and the top just moved.
FAQ
What is UBS’s new AI hiring requirement? According to the Financial Times, UBS will require graduate and intern applicants to its global banking and markets divisions from 2027 to demonstrate AI proficiency — showing in interviews how they have used AI to improve outcomes and efficiency, with the requirement reportedly extending to other newly advertised roles across the firm.
Does the UBS AI requirement replace degree requirements? No. The FT reports the AI literacy requirement sits alongside existing academic requirements such as degree grade thresholds, and UBS says AI literacy complements rather than replaces academic, analytical and interpersonal skills.
Are other banks requiring AI skills from graduates? Some are moving the same direction — Bank of America has publicly discussed AI reshaping its internships — but UBS is among the first major banks to make AI proficiency an explicit, stated hiring criterion for junior bankers.
Should NZ graduates learn AI tools before applying for jobs? The NZ data points that way: PwC’s NZ AI Jobs Barometer found AI-related job ads more than doubled in a year, and the global wage premium for AI skills reached 62 percent in 2026. Concretely: be able to describe specific things you’ve done with AI tools, because “how have you used AI” is becoming a standard interview question.
Related reading: New Zealand’s AI Hiring Has More Than Doubled in a Year, The 62 Percent AI Wage Premium Is Now the Labour Market’s Biggest Number, and Older Workers Are Quietly Winning the AI Skills Race.
— CJ Murden, editor of Singularity.Kiwi. Former digital technologies teacher, author of AI-focused books. Writing with a New Zealand focus.
