AI

Artificial intelligence is entering wealth management through the front door, but most of the real difficulty remains in the back office of information. The problem is not a shortage of models, interfaces, or use cases. It is that much of private wealth still sits in fragmented reporting, uneven documentation, and parallel structures that were never designed to function as a common operating view.
The defining question in Swiss wealth management is not whether artificial intelligence will replace the advisor. The more important issue is whether the information environment is coherent enough for productivity gains to hold in practice. AI has attracted attention because it promises speed, efficiency and automation. The real test is whether information across banks, entities, asset classes and documents can be brought into a form that is visible, current and usable in day-to-day work.
Artificial intelligence has moved beyond experimentation into a structural force shaping how wealth is created, managed and preserved. Its economic relevance is no longer theoretical, as estimates suggest it could contribute up to USD 15.7 trillion to global GDP by 2030, equivalent to roughly 14% of global output, with generative AI alone accounting for between USD 2.6 and 4.4 trillion annually.
In early March 2026, senior leaders from across the financial sector gathered in Zurich for a discussion hosted by NZZ Finanzplatz on the future of artificial intelligence in finance. Among the participants was Ian Keates, CEO of Altoo AG. What became evident during that exchange was not enthusiasm for another technological cycle, but a recognition that something more structural is underway. Artificial intelligence is already embedded across the industry. The more pressing question is how institutions retain control once it begins to influence financial decisions in meaningful ways. Here, Ian shares his thoughts on the impact of AI in the
The World Economic Forum in Davos is rarely about announcements. Its significance lies in the informal exchanges where political leaders, central bankers, regulators and corporate executives test assumptions against one another. In 2026, those conversations exposed a growing tension between ambition and institutional capacity. Across technology, finance and public policy, expectations of what systems are meant to deliver increasingly outpaced what organisations are able to govern, integrate and explain.
According to current statistics, your wealthiest clients are likely to have a rather uniform personal profile. According to research from Wealth-X, the global population of ultra-high net-worth individuals (UHNWIs) is 89% male, with an average age of 65. In the near future, however, the population of wealth owners will include more women, Great Wealth Transfer recipients, and affluent earners having just crossed the high net worth threshold. This article outlines what you should know to best position yourself to serve tomorrow’s digital-native investors.
As a wealth manager, do your clients take your advice entirely at face value? If not, they probably have good reasons. After all, they most likely became wealthy by thinking analytically. You should not expect them to stop that analysis just because you are providing the answers. Fortunately, their difficult questions can hold immense value for both you and them. A sophisticated digital wealth platform can help you extract and unlock that value.
In today’s increasingly digitalised financial landscape, all forward-thinking wealth professionals face a shared set of challenges in consolidating, analysing, and visualising data as they monitor investments. For family officers in particular, these challenges involve three specific challenges. Here we suggest how you can successfully address them.

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