Safra CEO Daniel Belfer says the group’s landmark acquisition of Denmark’s Saxo Bank is a clear signal that scale in technology, not just assets will decide which wealth managers thrive in the age of artificial intelligence. Calling Saxo “all about the technology architecture,” he argues that AI is reshaping the industry so profoundly that firms without sufficient tech muscle risk being left behind.
Swiss private bank J. Safra Sarasin has completed the purchase of about 70% of Saxo Bank, in a deal valued at roughly 1.1 billion euros (around 1.30 billion dollars), finalising a transaction first agreed in 2025. Saxo, headquartered in Copenhagen, is best known for its digital trading and investment platform, which serves both retail and institutional clients globally.
The acquisition gives Safra control of a fully cloud‑native, multi‑asset trading and investing stack, and positions the group at the intersection of private banking, brokerage and digital platforms. For Saxo, the tie‑up provides a deep‑pocketed owner willing to invest in technology and global expansion as AI accelerates competition in digital finance.
“We see Saxo as a strategic technology platform, not just a financial asset,” Belfer told Reuters, underscoring that the deal is about future‑proofing the group against AI‑driven disruption rather than merely adding clients and assets under management.
Belfer has been explicit that technology – not geography or traditional synergies – was the decisive factor behind the deal.
“Saxo is all about the technology architecture,” he said in an interview. “It’s all about the agility to make changes that are coming to the market and adapting to customer demands quickly.”
In another remark carried by several outlets, he tied that architecture directly to the AI transition. “AI will be everywhere,” Belfer said. “You will still have people, but you’ll be able to give a lot more detail to the client on their account.”
That vision puts Saxo at the core of Safra’s technology strategy: a scalable, API‑driven platform that can power hyper‑personalised services, automated workflows and advanced analytics for clients ranging from mass affluent to ultra‑high‑net‑worth.
The Saxo deal comes as wealth management firms face mounting pressure from generative AI and automation across the value chain, from portfolio construction to client reporting. In February, shares of listed wealth managers fell sharply amid fears that AI tools could erode traditional advisory margins by automating tasks that used to command high fees.
Christian Edelmann, a banking specialist at consultancy Oliver Wyman, said the Saxo acquisition is emblematic of a broader shift in how banks think about returns on investment.
“The AI transformation is likely to shift banks’ return‑on‑investment calculus toward investing in frontier technology, rather than relying on the old playbook of acquiring wealth managers to expand their client base,” Edelmann said.
Generative AI, he added, is already enabling “hyper‑personalised services, making historically uneconomic segments cheaper to serve while boosting adviser productivity in higher‑wealth segments.”
“We’re moving towards automated workflows with human oversight,” Edelmann said. “In three years, people in the workforce will no longer be doing what they are doing today.”
Against that backdrop, Belfer framed the Saxo deal as a deliberate pivot away from classic consolidation and toward acquiring digital infrastructure at scale.
“J. Safra Sarasin is still looking at traditional acquisitions, but with Saxo Bank, tech was the main factor,” he said. While the group remains open to buying conventional wealth managers, the CEO made clear that the logic of this transaction is different: it is about plugging the entire group into a high‑velocity technology engine.
“AI will be ubiquitous,” Belfer said. “Human advisors will remain, but we will be able to provide clients with significantly more detailed insights regarding their accounts.”
His remarks underline a strategic bet that, in an AI‑heavy market, the winning firms will be those that can industrialise personalisation – using machine learning to generate tailored advice, risk analytics and product recommendations at scale, while keeping human relationship managers in the loop.
With the acquisition now completed, J. Safra Sarasin is not only Saxo’s majority owner but also reshaping its leadership. Belfer will take over as CEO of Saxo Bank, in addition to his role at J. Safra Sarasin, giving him direct oversight of the integration and the combined tech strategy.
He replaces Saxo founder Kim Fournais, who will step down from the chief executive role and become chairman of the Danish bank’s board of directors. Fournais, who built Saxo into a leading online trading platform over three decades, will stay closely involved at the governance level while handing day‑to‑day control to Safra’s leadership.
Saxo said in a statement that the change “marks the beginning of a new chapter” in which the bank will leverage J. Safra Sarasin’s global network and balance sheet to accelerate growth, product development and AI‑driven innovation.
For Belfer, the rationale for building technology scale now is straightforward: AI systems are compute‑intensive, data‑hungry and increasingly embedded in every step of the client journey. To deploy them responsibly and profitably, banks need platforms that can securely process large data sets, integrate third‑party tools and continuously update models.
“Saxo is fundamentally about its technological framework,” he said. “It emphasizes the flexibility required to adapt to emerging market changes and swiftly respond to client needs.”
That flexibility is becoming critical as AI reshapes both front‑office and back‑office functions. From automated onboarding and real‑time risk checks to personalised investment journeys in mobile apps, the ability to iterate quickly on digital experiences is turning into a key competitive differentiator.
By combining J. Safra Sarasin’s private‑banking franchise with Saxo’s infrastructure, Belfer is aiming at a model where sophisticated tools – such as scenario analysis, tax‑aware portfolio optimisation or options strategies – can be embedded into user‑friendly interfaces for clients and relationship managers alike.
The Saxo deal lands amid a wave of announcements that highlight how aggressively financial firms are re‑wiring around AI. Last week, U.S. payments company Block said it would cut nearly half of its workforce as part of a plan to weave AI through its operations, a stark example of how automation and cost discipline are now tightly linked.
European banks, meanwhile, have been expanding in wealth management to diversify away from interest‑rate‑sensitive lending income and capture more stable fee revenue. In February, Britain’s NatWest unveiled a 2.7 billion pound agreement to acquire wealth manager Evelyn Partners, underscoring how competition for affluent clients remains intense even as technology reshapes the business.
Consultants like Oliver Wyman argue that, in this environment, simply adding more advisers or branches is unlikely to deliver the same returns as in the past. Instead, the upside is increasingly tied to platforms that can scale AI across thousands or millions of client relationships.
Belfer and Edelmann both stress that AI is not about eliminating human advisers but about augmenting them.
“AI will permeate every aspect of the industry,” Belfer said. “While human advisors will remain, they will be equipped to provide clients with significantly more detailed information regarding their accounts.”
Edelmann framed the future operating model as “automated workflows with human supervision,” suggesting that many routine tasks will be handled by machines while people focus on complex judgments, relationships and oversight.
“In three years, the workforce will have shifted away from their current roles,” he said, predicting that job descriptions in wealth management will move toward data‑driven decision‑making, digital engagement and cross‑channel service.
Saxo’s technology stack gives Safra an immediate foothold in:
● Multi‑asset online trading: access to global equities, FX, fixed income, options and more via a single platform.
● White‑label and B2B services: infrastructure that other banks and fintechs can use under their own brands.
● Advanced risk and margin engines designed for high‑frequency pricing and real‑time risk control.
For J. Safra Sarasin, this means the group can support both its own private‑banking clients and external partners on the same core systems, spreading the cost of AI investments over a larger base. It also opens the door to new revenue streams in embedded finance and “banking‑as‑a‑service,” where Saxo’s infrastructure can power offerings for other institutions that lack the resources to build similar platforms.
Last year, J. Safra Sarasin said the stake in Saxo would “strengthen its long‑term business‑as‑a‑service partnerships with banks,” signalling that it sees the Danish platform as a technology hub for the wider group.
The completion of the Saxo acquisition is likely to be watched closely by competitors as a test of whether buying a digital platform is a faster and more effective route into AI‑driven wealth management than building capabilities in‑house.
If Belfer’s thesis is correct, technology scale measured in engineering talent, platform reach and AI adoption will be just as important as assets under management in determining who wins in the next phase of the industry’s evolution.
For now, his message is clear: in the AI era, deals like Saxo are no longer optional experiments, but strategic necessities. “It’s all about the agility to make changes,” he said. “And that’s what Saxo gives us at scale.”
Comments