Why European wealth management can no longer sell returns as its central argument
There is a data point in the survey McKinsey published in June 2026 that deserves a pause before moving on: among high-net-worth clients in Europe, the proportion who describe themselves as risk-takers fell from 40 to 31 percent in just two years. This is not a cyclical fluctuation. It is a recalibration cutting across every segment simultaneously, in an industry that historically built its value proposition on the promise of superior returns. When the central argument stops resonating with the client, the entire model needs to be examined with clear-eyed honesty.
The study, which gathered responses from approximately 5,500 European clients distributed across three segments — affluent, private, and high-net-worth — is not a satisfaction survey. It is a demand diagnosis that shows in concrete numbers just how far current client expectations are from what the industry still offers as standard. And the distance is wide enough that it cannot be resolved through incremental updates.
The model that worked until now no longer balances the equation
For decades, wealth management operated under a relatively stable logic: the advisor selected assets, generated returns, and the client renewed their trust with each positive cycle. The channel was in-person or by telephone. The frequency of contact was periodic. Fees were calculated on assets under management and were rarely broken down with transparency. It was a model designed to scale with efficiency, not to personalise with depth.
What the McKinsey survey documents is that this model is being pressured from multiple fronts simultaneously. The first and most visible is the widespread decline in risk tolerance. Among affluent clients, the percentage identifying as risk-takers fell from 29 to 24 percent. Private clients recorded a similar decline. But the number that most unsettles the industry is that of high-net-worth clients: from 40 to 31 percent. This segment was, historically, the one that most comfortably accepted exposure to volatile assets because it had sufficient cushion to absorb short-term losses. The fact that its appetite for risk has fallen nearly ten percentage points in two years says something about the emotional and intellectual state of that client, not just about the market cycle.
The second front of pressure lies in fees. The study shows that even high-net-worth clients — historically the least price-sensitive — are exhibiting greater awareness of costs than in 2024. More than 66 percent of clients across all segments prefer variable fee structures linked to performance over fixed fees. Seventy-one percent of affluent clients declare a willingness to pay separately for financial planning. Sixty-eight percent are willing to pay for enhanced reporting. These figures do not describe a client who wants to pay less: they describe a client who wants to understand what they are buying, and who expects the price to reflect what they receive.
The third front — and probably the most strategically costly to ignore — is the expansion of what clients consider part of the service. Seventy percent of high-net-worth clients consider it very or extremely important that their financial advisor plays a role in planning non-financial aspects of their longevity: housing, care, lifestyle transitions, wealth transfer. Between 32 and 41 percent express interest in annuity or guaranteed income products. Between 33 and 37 percent want access to long-term care insurance through their wealth manager. What the client is describing is not an expanded financial service. It is a figure of trust for life decisions, with the technical capacity to put them into effect.
The gap between what the current model can offer and what the client is asking for is not a matter of fine-tuning. It is a matter of architecture.
Artificial intelligence as a support layer, not as a substitute for judgment
One of the most revealing aspects of the study is the way European clients understand the role of artificial intelligence in their relationship with their advisor. The dominant narrative in the industry over recent years has oscillated between two extremes: the robo-advisor as a threat to the manager's job, or AI as a competitive differentiator that enables the scaling of personalised service without increasing costs. The McKinsey data invalidates both extremes.
Distrust of automated advisory services has decreased since 2024, which is a relevant finding. But the number that defines the situation with precision is this: only 17 percent of affluent clients and 22 percent of private clients feel comfortable using fully digital platforms without human assistance. Among high-net-worth clients, that percentage rises to 36 percent, which is still a minority. The proportions that accept using artificial intelligence within digital investment platforms are even lower across every segment.
What clients do value in artificial intelligence is its capacity to enhance the human advisor: more timely advice, better explainability of recommendations, greater personalisation within the relationship. Between 33 and 45 percent of respondents believe that recent advances in artificial intelligence can make automated advice more effective, but across all segments the preferred use of technology is to generate personalised guidance that is delivered through a human advisor, not in place of one.
This has concrete operational implications. A firm that is investing in artificial intelligence in order to reduce its roster of managers and scale the service with less human coverage is misreading the signal. The client does not want fewer managers: they want better-informed managers who are faster and more capable of contextualising their particular situation. The technology that adds value in this model is not the kind that replaces the relational judgment of the advisor, but the kind that provides richer context, earlier alerts, and a greater capacity to explain recommendations with clarity.
For European wealth managers, this defines a specific architecture for technology investment: real-time portfolio analysis tools, alert systems for life events relevant to the client, personalisation engines that feed the advisor's preparation before each interaction. Spending on artificial intelligence that does not pass through the reinforcement of that intermediate layer — the human manager as the final point of contact — will hardly generate returns in terms of client retention or the capture of additional assets.
The segments are diverging, and a single model is serving all of them poorly
The survey makes plain something the industry knows but rarely translates into operational consequences with the honesty it deserves: the three client segments have behaviours, preferences, and needs so different from one another that serving all three with the same infrastructure is, in practical terms, serving none of them well.
Affluent clients hold 37 percent of their financial assets in managed products. Their preferred channel for making portfolio changes is digital self-management. Only 29 percent seek advice more than once a month. Sixty-four percent feel comfortable making financial decisions. They want simplicity, cost transparency, and digital tools that do not require constant intermediation.
High-net-worth clients hold 55 percent of their financial assets in managed products. They prefer to make portfolio changes in person, with their advisor. Fifty-nine percent seek advice more than once a month. Eighty-three percent feel comfortable making financial decisions. They want a broader range of products, coordinated multichannel access, and a high-frequency relationship with a manager who knows their situation in detail.
The difference is not a matter of nuance: it is a matter of business model. The affluent client needs a well-built digital platform with human backup that is available but not intrusive. The high-net-worth client needs a dedicated manager who operates with invisible but powerful technological support. Attempting to satisfy both needs with the same product, the same channel, and the same level of dedication means offering each of them something that does not quite match what they are looking for.
There is also a direct economic consequence to this divergence. Thirty-six percent of the high-net-worth clients surveyed indicate that they could switch their primary bank within the next 12 months. The number one reason clients across all segments cite for leaving an institution is loss of trust. And 49 percent of affluent clients report that their primary bank has not reached out to them in response to the current geopolitical situation, while half of them have already received proposals from competing banks.
That asymmetry — the competition more proactive than the incumbent — does not describe an industry that is losing clients over price. It describes an industry that is losing them through silence.
The moment when the narrative no longer buys time
The European wealth management sector has operated for years with an advantage that is now eroding: the inertia of the established client. Changing banks or managers carries real costs — administrative, relational, and in terms of learning — which for a long time functioned as exit barriers high enough to keep the client in place even when the service was not evolving.
That inertia is diminishing. The willingness to switch primary banks within the next twelve months declared by more than a third of high-net-worth clients is not merely a survey statistic: it is the signal that the threshold of dissatisfaction needed for a client to act is shrinking. The combination of greater access to digital alternatives, greater awareness of costs, and greater clarity about what they are not receiving is making institutional silence increasingly costly.
The response some players in the sector are giving — more technology, more channels, more products — is not wrong in itself. The problem is the order of priorities. The survey does not describe a client who wants more ways to access a relationship that does not satisfy them. It describes a client who wants the relationship to change in nature: from one centred on asset management to one centred on managing the complexity of their financial and personal life.
That is not resolved with a more intuitive application or a more transparent fee structure, even though both of those things are necessary. It is resolved with managers who have a competency profile different from the one the industry has historically trained, with coverage models that integrate long-term planning, with data infrastructure that enables personalisation without depending on the manager's available time, and with fee structures that align the firm's income with the client's outcome, not with the volume of assets under management.
That kind of transformation requires decisions that go far beyond technology or marketing budgets. It means touching the economics of the model, the talent profile, and the product architecture. Firms that are treating these findings as inputs for the next strategic planning cycle will probably arrive too late. Those that are reading them as a signal that the client has already made a decision and is waiting to see whether the institution will follow are in a better position to retain what they have already built.
