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AI skills are now the price of a UBS job
UBS will require graduates and interns joining in 2027 to prove they can use AI to improve outcomes, the Financial Times reports. Interviews will include questions about how candidates use the tools. Every previous story in this run was about banks hiring fewer juniors. This one changes what a junior has to be. For two years the AI story in banking has been a headcount story. How many graduates a bank takes, and how many it quietly stops taking. UBS has changed the question. It is no longer asking how many juniors it needs. It is asking what a junior has to be. The change covers anyone applying to start at the Swiss bank in 2027, as a graduate or an intern in Global Banking and Markets. Those applicants will have to show that they can use AI to improve outcomes and efficiency. The Financial Times first reported the change, citing people familiar with the matter. Interviews will include questions about how candidates actually use the tools. TNW has not independently verified the account. The bar is not whether an applicant has opened ChatGPT. It is whether they can point at a real task and explain what they handed to a model. Then say what came back that was better than before. That is a harder thing to rehearse than a competency answer, and it is meant to be. What UBS is actually asking for The requirement sits alongside the usual entry criteria, including a strong degree, rather than replacing them. UBS told the Financial Times that AI skills complement academic and social abilities. The same standard will apply to other newly posted roles. What UBS has not said is whether the requirement will eventually reach the staff it already employs. Successful candidates then go through an internal programme UBS calls the AI Fluency Pathway. It covers real banking use cases and responsible use. That detail matters more than the headline requirement. A bank that expected finished expertise on day one would not need to build a training track. What UBS wants at the door is evidence of use and a willingness to learn. It is among the first large banks to write the requirement down. Santander wants advanced AI users on some of its trainee programmes, according to the Financial Times. The practice is spreading rather than starting. Every story before this one pointed the other way This is the first move in the run that is not about shrinking the intake. In August, EY stretched its internship to a year before offering a job. That bought the firm time to work out what a graduate is worth. A Swiss study in June found fewer job ads aimed at career starters. That is the same labour market UBS recruits from. Harvard researchers found AI-native startups hiring fewer juniors and more senior specialists. Each of those is a story about supply. UBS has made a story about specification. The graduate job still exists at the bank, and the price of it went up. The numbers behind the nerves Banks have spent the past year automating the work that used to fill a first year. Financial analysis, research, and the assembly of client presentations. UBS is also testing analyst avatars for client presentations, the Financial Times reported. That is the same job viewed from the other end. Morgan Stanley analysts expect more than 200,000 banking jobs in Europe to disappear within five years. Separately, in May, the bank doubled its forecast for how deeply AI would cut European banking headcount. That revised figure ran to as much as a fifth of all jobs. Jamie Dimon has already said AI eliminated 30 to 40 percent of jobs in some JPMorgan divisions. Against that, a hiring requirement reads almost like reassurance. UBS is still recruiting graduates. It has simply decided which ones. For a candidate staring at those forecasts, being told what to learn is better news than being told there is no intake, even if the requirement itself arrives as one more thing to fund out of their own pocket. The part nobody has solved There is a catch inside the policy, and a senior banker named it first. Conor Hillery, who runs JPMorgan's business in Europe, warned in December that juniors cannot afford to lose the fundamentals. He was pointing at the obvious risk. An analyst who reaches for a model before understanding the problem may never learn to understand the problem. The research supports him. A July study described the effect as never-skilling. Juniors who lean on AI from the start often fail to develop the debugging instinct that comes from getting things wrong slowly. Screening for AI proficiency at the interview stage does nothing about that. It may even select for it. UBS appears to know this, which is why the Fluency Pathway covers responsible use rather than speed. Whether a training module can hold the line is a different question, and it is not one a bank can answer in a recruitment round. What the 2027 intake actually tests The graduates who join UBS in 2027 will be among the first anywhere in European banking hired on these terms. They will arrive able to prove they use AI well. The job waiting for them is one where the tasks that used to teach the trade have already gone to software. That is the awkward shape of it. A bank can screen for the skill that replaced the apprenticeship, and it still has to invent a replacement for the apprenticeship. The Fluency Pathway is UBS having a go at both problems with one programme. Banking has always claimed its apprenticeship was the point. Three years of grinding through models and decks, badly at first, until the judgement arrived. UBS is now betting that judgement can be built a different way. Nobody finds out whether that worked until the class of 2027 is running deals, which is roughly a decade from now.
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Banking giant UBS wants all new employees to have AI skills
* 2027 UBS recruits told they must have AI proficiency and a willingness to learn * The bank's AI Fluency Pathway will continue to support junior workers' development * While thousands of jobs could be at risk, we're starting to see shifts rather than outright displacement Swiss investment giant UBS is now requiring all junior bankers to demonstrate AI proficiency as the skill moves from being a nice-to-have to an absolute requirement within recruiting. The change currently applies to graduates and interns applying to the company's 2027 intake, per the Financial Times, and it's unclear whether UBS will broaden the requirement to all workers in the future. As part of the new requirement, recruits will need to be able to demonstrate that they can use and experiment with AI responsibly to improve business outcomes - not just that they can use popular AI chatbots like ChatGPT. UBS makes AI skills a must-have AI-related questions will now become part of the bank's recruitment interviews on top of both the existing types of questions as well as the usual requirements, like a 2:1 degree. While the news puts additional strain on graduates who now need to invest in their own AI skills, it's an example of how artificial intelligence isn't replacing entry-level workers, with the bank seeing it more as a productivity booster for human staff. UBS' training program will also include an 'AI Fluency Pathway' to cover real-world banking AI use cases and responsible AI use, implying that the bank is more focused on prospective workers being able to prove a certain level of proficiency and willingness to learn - not full proficiency from the get-go. AI's longer-term effects on banking employment are more unpredictable, though, with an earlier Morgan Stanley report warning that 200,000 banking jobs could be lost in Europe over the next five years. That was in early 2026. While the outlook now seems more positive that junior workers may not be at a loss, it's clear that roles are evolving and entry-level workers could see their responsibilities shift toward AI management. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
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UBS calls for AI literacy from new recruits
This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. According to a report in the Financial Times, UBS is asking new candidates for its global banking and markets division to demonstrate how they have used AI technology to "improve outcomes and efficiency". AI 'fluency' has been added to interviews for graduate trainees and interns, alongside more traditional questions and requirements, such as a minimum grade of 2:1 for undergraduate degrees. The change to the recruitment process reflects the growing use of AI by financial institutions and, more specifically, how the technology is being used to complete tasks that were typically entrusted to junior recruits in the past - such as financial analysis, research, and preparing client presentations. According to UBS, "AI capabilities and experiences have become an important aspect of future professional success". Although the bank also added that AI literacy "complements rather than replaces" academic, analytic and interpersonal skills". The impact of AI on jobs within the banking sector has become a subject of debate in recent months. Analysts from Morgan Stanley have forecast that as many as 200,000 banking jobs within Europe could be affected by AI over the next five years.
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UBS becomes first major bank to require AI proficiency for all 2027 graduate and intern applicants. Candidates must demonstrate practical AI use to improve efficiency, not just familiarity with tools like ChatGPT. The move signals a fundamental shift in what entry-level banking roles demand as automation reshapes junior banker responsibilities.
UBS has mandated that all graduates and interns joining its Global Banking and Markets division in 2027 must demonstrate AI proficiency
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. The Swiss bank's hiring process now includes questions about how candidates have used AI tools to improve outcomes and efficiency in real-world scenarios2
. This requirement sits alongside traditional criteria like a 2:1 undergraduate degree, complementing rather than replacing academic and interpersonal skills3
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Source: The Next Web
The bar extends beyond basic familiarity with ChatGPT. Applicants must point to specific tasks where they used AI models and explain what improved as a result
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. This practical focus makes UBS among the first large banks to formalize AI literacy as a hiring requirement, though Santander has also begun seeking advanced AI users for some trainee programmes1
.Successful candidates enter UBS through an internal programme called the AI Fluency Pathway, which covers real banking use cases and responsible AI use
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. The existence of this training track reveals that UBS expects evidence of use and willingness to learn at the door, not finished expertise. The bank stated that AI capabilities have become an important aspect of future professional success while emphasizing that AI literacy complements analytical abilities rather than replaces them3
.What remains unclear is whether UBS will extend this requirement to existing staff or other divisions beyond new recruits in 2027
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. The policy represents a specification shift rather than a supply cut, distinguishing it from earlier moves by firms like EY, which stretched internships to a year before offering jobs1
.Banks have spent the past year automating tasks that previously filled first-year analyst roles: financial analysis, research, and client presentations
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. UBS is also testing analyst avatars for client presentations, viewing the same junior banker role from multiple automation angles1
. This AI adoption in financial institutions reflects broader AI-driven changes in banking that are reshaping what productivity means for human staff2
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Source: TechRadar
Morgan Stanley analysts forecast that more than 200,000 banking jobs in Europe could disappear within five years
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. In May, the bank doubled its forecast for how deeply AI would cut European banking headcount to as much as a fifth of all jobs1
. Jamie Dimon has said AI eliminated 30 to 40 percent of jobs in some JPMorgan divisions1
. Against these projections, UBS continuing to recruit graduates signals that roles are evolving toward AI management rather than outright displacement2
.Related Stories
Conor Hillery, who runs JPMorgan's business in Europe, warned in December that junior bankers cannot afford to lose fundamental skills
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. An analyst who reaches for AI before understanding the problem may never develop that understanding. A July study described this effect as never-skilling: juniors who lean on AI from the start often fail to develop the debugging instinct that comes from making mistakes slowly1
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Source: Finextra Research
Screening for AI proficiency at interviews does nothing to prevent this risk and may even select for it. UBS appears aware of the tension, which explains why the AI Fluency Pathway emphasizes responsible AI use rather than speed
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. Whether training modules can hold this line remains an open question that no bank can answer during a recruitment round. The 2027 intake will test whether the banking industry and job market can balance automation with skill development as the global banking and markets division navigates this transition.Summarized by
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