As we start to analyse the success and impact of the fourth industrial revolution — encompassing AI, robotics and cyber-physical systems — wealth management watchers are asking three key questions: Why have we reached a plateau in AI innovation? How do we differentiate private banking brands when technology has fast become a commodity? And what constitutes the best cultural backdrop for a forward-looking wealth manager?
There are some key obstacles to further innovation, believe the judges of PWM’s ninth annual Wealth Tech Awards. One of the major barriers, believes April Rudin, founder of the Rudin Group consultancy in New York, is lack of talent entering wealth management technology.
“Banking and wealth management are not the big talent attractors like Silicon Valley or straight AI players like Anthropic,” says Rudin. “We must raise the industry’s profile and create new career paths that combine subject matter knowledge with the technical know-how to attract top-tier talent, maintain momentum and serve future clients. This means a diverse workforce will be even more important to serve our rising population of diverse clients.”
Indeed, tradition — something many private banks claim is linked to trust, good governance and family legacy — is often more foe than friend, she believes.
“Private banking especially in Europe, has built itself around ‘pomp and circumstance’ in how it appears in the market and in its own offices,” she says.
“It can be an internal bubble without them realising how much the world — and their competition — has changed. In some cases they might not even recognise or acknowledge that firms such as Revolut might be their competition, perhaps dismissing the thought itself.”
Street talk
These stark observations about lack of cultural transformation and awareness should provoke leaders to become keener societal and market observers, she believes.
“The leaders need to get out of their offices and get onto the streets, visiting the offices of their competition, reading their ads and talking to their own client set about wants and needs instead of maintaining status quo,” says Rudin.
This view is shared by other leading commentators. A picture of old-school European private banks struggling to innovate in the face of vibrant competition from American and Asian counterparts is painted by Sigrid Unseld, data architect at Scilla Consulting in Zurich.
“Not only in AI but generally in IT, the music has been playing elsewhere for the last 20 to 30 years — mainly in the US, not in Europe,” suggests Unseld.
“One key reason is talent. Many of the best European IT people move to the US, where innovation is thriving because startups are appreciated and get easy access to financing. European banks are simply too old-fashioned for this kind of talent.”
Many of the best European IT people move to the US, where innovation is thriving because startups are appreciated and get easy access to financing. European banks are simply too old-fashioned for this kind of talent
At the same time, Europe is dealing with heavy regulation and market fragmentation across multiple jurisdictions, she believes. “This makes scaling new technologies much slower and more complex. And there is a cultural aspect. European private banking is built on discretion, stability and long-term client relationships. Eventually, Europe may catch up, but will do so by licencing or acquiring solutions from the US and Asia, rather than creating them itself.”
Deepest shifts
A misreading of the needs of clients is clearly mixed in with structural and regulatory issues. “Part of this is the reality that many people just aren’t interested in the ‘experience’ they get with financial services providers,” says Keith Macdonald, UK head of wealth management at consultancy Ernst & Young.
“They just want their assets looked after and to achieve sensible returns. AI is making it easier to tailor outbound communications, to make things more interesting and relevant, but we are a long way from connecting to what people are really bothered about.”
Digital customer experience appears commoditised, with very few banks making this a real priority, despite hiring teams to curate this.
Commoditisation of technology and services, while not yet an existential issue in private banking, is certainly leading C-suite leaders to sit up and plot a shelf of services to differentiate themselves from competitors.
The deepest shift, according to Phil Watson, formerly head of innovation at Citi Private Bank, now heading the Lightbox Wealth technology and investment management boutique for family offices, is that access to frontier AI models has already ceased to be a differentiator.
When it comes to banks building multiple large language models in parallel across research and risk workflows, model differences have become marginal, relative to how the models are blended altogether, says Watson.
That gap — between deployment and integration — is where some firms in Europe lose ground. The competitive advantage is moving away, he says, entirely to proprietary data, client context, and workflow integration. “Europe’s challenge is therefore not a lack of access to the technology; it is that its institutional structures have been slower to embed AI where it creates durable value.”
Chinese wealth managers, on the other hand, “are deploying capital into digital infrastructure at a scale that few competitors can match,” says Watson.
Chinese whispers
“Most have invested heavily in integrated platform architecture that bypasses the fragmented legacy systems constraining Western incumbents,” with some Chinese players now starting to expand across south-east Asia and the Middle East, demonstrating that the technical foundation for global reach exists.
Europe’s challenge is not a lack of access to the technology; it is that its institutional structures have been slower to embed AI where it creates durable value
“The constraint is not the technology,” believes Watson. “It is trust, regulatory alignment, and data governance.”
Not only does EU legislation and the UK operational resilience framework impose data localisation and third-party oversight requirements that create meaningful barriers for Chinese players, but current geopolitical uncertainty may be curtailing ambitions of some Asian wealth managers, he says.
“Broader global adoption faces headwinds from geopolitical risk concerns among institutional clients — particularly in North America and northern Europe, where procurement decisions increasingly include supply chain and data sovereignty assessments.” The more probable trajectory, Watson predicts, is selective expansion through partnerships and white-label arrangements in markets with aligned regulatory environments, rather than direct market entry at scale.
“The technology is exportable. The bottom line is that the governance conditions for trust may not yet be in place in most western markets.”
Cluster culture
This tech manifesto suggests that the future will be one with much more accessibility to the market for boutique players, particularly those prepared to cluster around the bigger custody banks and research providers.
For many, it is the boutique rather than “big bank” culture that is currently sweeping the market, leading to both intermediary “external wealth managers” and ultimate private investors to reassess their loyalties.
“Many of the largest wealth managers believe AuM is everything and that biggest is best,” says Sharmil Patwa, founder of the Opus Una Financial Services consultancy in London and former technology transformation officer at Barclays and Deutsche Bank.
“I fear that some of these will experience their own Kodak or Blockbuster moments in due course,” says Patwa, referencing the stories of two major corporates unable to read technology trends in the market.
“In an age where products and services are becoming increasingly commoditised, innovation is the only route to survival. Not only are the smaller players unafflicted by the arrogance of AuM but they also benefit from greater connectivity between seniors and those at the coal face. It is this connectivity which is central to the common purpose of building an innovation culture.”
Smaller institutions are structurally better positioned to foster real innovation, assuming leadership is committed to it, says Sandra Daub, head of business development at Noumena Digital in Zurich.
Structures at large banks were designed for control and stability, not for speed or experimentation. Their legacy IT landscapes further compound the challenge, making meaningful change both costly and slow
“They operate with fewer layers of governance, leaner organisations, and far less internal friction. Decisions can be taken faster, and ideas can be tested and implemented without navigating complex approval processes.”
By contrast, she says, large banks are often constrained by decades of accumulated governance, rigid hierarchies and highly formalised processes.
“These structures were designed for control and stability, not for speed or experimentation. Their legacy IT landscapes further compound the challenge, making meaningful change both costly and slow.”
While large institutions have the advantage of scale and resources, these rarely translate into true innovation, believes Daub. “They tend to optimise rather than reinvent. In practice, innovation in large banks is often incremental. In that sense, smaller players are not just better suited, they are often the only ones able to build a genuinely innovative culture. The real question is whether they fully capitalise on that advantage.”