What happened
Swiss banking giant UBS just changed the rules for anyone who wants a junior job there. Starting with the 2027 intake, candidates applying for graduate and internship roles in UBS's Global Banking and Markets division will need to demonstrate AI skills — meaning the practical ability to use artificial intelligence tools to get work done faster and better. The Financial Times, citing people familiar with the matter, reports that interviews will now include direct questions about how candidates actually use AI in their work.
This isn't a replacement for the usual hiring bar. UBS says AI skills sit alongside classic requirements like a strong degree and solid interpersonal skills — they add to the checklist, they don't remove anything from it. The bank is also extending the requirement to other newly posted roles beyond the graduate program, which makes UBS one of the first major banks to formalize AI fluency as a hiring condition rather than a nice-to-have.
The timing isn't random. Banks are automating the routine work that used to be junior bankers' bread and butter: financial analysis, research summaries, and building client presentations. Spain's Santander is already looking for advanced AI users for some of its trainee programs, according to its own hiring documents. Morgan Stanley analysts project that more than 200,000 banking jobs in Europe could disappear over the next five years as this automation spreads. UBS itself is testing AI-generated analyst avatars for client presentations — a sign of how far this is going. Not everyone thinks speed is the whole story, though: JPMorgan's Europe head, Conor Hillery, warned in December that junior staff still need to learn the fundamentals, not just how to prompt a chatbot.
What it means for you
You don't need to work at a bank in Zurich for this to matter. UBS is a bellwether here — when a 160-year-old institution rewrites its hiring criteria around AI, other employers tend to follow within a year or two. Here's how that plays out in different corners of life.
At work: If you're in an office job today — finance, marketing, operations, admin — the expectation that you can "use AI to improve outcomes" is quietly becoming as standard as knowing Excel was twenty years ago. Nobody's going to hand you a manual. You're expected to already know how to ask an AI tool to summarize a report, draft an email, or clean up a spreadsheet.
Job hunting: If you're applying for your first job or switching careers, expect interview questions like UBS's: "Walk me through how you'd use AI on a task like this." Having a real answer, with a specific tool and a specific example, will set you apart from someone who says "I've used ChatGPT a bit."
Running a business: If you hire junior staff or interns, you can raise your own bar the same way UBS did. Ask candidates to show you an example of AI-assisted work — a report they tightened up, a pitch deck they built faster — rather than just asking if they've "used AI."
Studying: Students in business, finance, or any analytical field should treat AI tools the way past generations treated spreadsheets: a core skill to build now, not something to figure out after graduation. Employers are no longer waiting for schools to teach this.
Creative and freelance income: Because entry-level financial analysis and research work is being automated, some of the demand is shifting toward people who can direct AI tools well — writing prompts, checking output, packaging results into something a client or manager can use. That's a marketable skill on its own, inside or outside a bank.
How to try it right now
You don't need a UBS internship to start building the exact skill they're now testing for. Here's a simple way to practice it this week, starting with a free option.
1. Pick a real task you already do — summarizing a document, drafting an email, organizing notes, writing a short report. Don't start with something abstract; use something from your actual job or studies.
2. Try a free AI tool first. Kreatool offers a set of free AI tools you can use directly in your browser, no signup friction, which makes it a good low-cost way to practice exactly the kind of AI-assisted work UBS is asking candidates about — turning a task into a clear prompt and refining the result.
3. Write your prompt like you're explaining the task to a smart intern: what you want, what format you want it in, and what to leave out. Vague prompts get vague answers.
4. Check the output critically. AI tools get facts and numbers wrong. Read every claim before you use it, especially anything with a number attached.
5. Save two or three examples of before-and-after work. This becomes your answer the next time an interviewer — or a client — asks "how do you use AI?"
If you want to go further, general-purpose assistants like ChatGPT or Claude are worth learning too, but starting with a free, no-friction tool removes the excuse of "I haven't gotten around to it."
Upsides and what changes
The upside is straightforward: AI fluency is becoming a portable, checkable skill, much like a language or a certification. That's actually good news for anyone willing to practice — it's a skill you can build on your own time, for free, without needing a degree or a job to access it first. It also raises the ceiling on what one junior employee can produce, which is part of why banks are willing to pay for it: a first-year analyst who can use AI well can now cover ground that used to take a small team.
For employers, the shift means hiring criteria get more concrete. Instead of vague soft-skill interview questions, candidates get judged on something they can actually demonstrate with an example. For workers, it means the skill gap between someone who's practiced with AI tools and someone who hasn't is starting to show up directly in who gets hired.
Limitations
This isn't a guarantee of a job, and it isn't a substitute for actual expertise — UBS was explicit that AI skills complement academic and analytical ability, they don't replace the fundamentals, which is exactly what JPMorgan's Conor Hillery was warning about. AI tools also make mistakes, sometimes confidently and invisibly, so leaning on them without checking the work is a fast way to damage your credibility rather than build it. And the automation trend cuts both ways: the same tools that make you more productive are also part of why Morgan Stanley expects 200,000-plus European banking jobs to vanish over five years, so this is as much about adapting to a shrinking entry-level market as it is about a new skill to add to your résumé.
Conclusion
UBS just made explicit what most employers are already thinking: knowing how to use AI well is becoming a basic hiring requirement, not an extra. One action for today — pick one real task from your work or studies, run it through Kreatool's free AI tools, and keep the result. That's the exact kind of concrete example an interviewer, or a client, will ask you for next.
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