Despite widespread recognition of artificial intelligence as the defining technology of our era, the wealth management sector remains caught in a frustrating paradox: ambition is abundant, but meaningful deployment is scarce.
WealthTech company fincite recently explored the trends shaping the sector, offering an insight from its new WealthTech Radar 2026.
Eight in ten companies (81%) now regard AI as the most critical technology shaping their future. A slim majority, 51%, now believes firms that fail to adopt AI have no long-term prospects. Yet the numbers on actual usage tell a starkly different story. Only 35% of intermediaries in financial advisory actively use AI tools, with a mere 10.5% doing so on a daily basis, according to the AfW Intermediary Barometer 2024/2025 and Bitkom 2025 data.
The competitive pressure is intensifying from outside the traditional banking ecosystem. Neobrokers and non-bank providers, unburdened by legacy infrastructure, are realising AI value at considerably greater speed. For incumbent institutions, this makes strategic partnerships and purpose-built AI at infrastructure level not merely desirable, but essential, fincite said.
Europe continues to lag behind the United States and Asia in its pace of adoption. The Capgemini World Wealth Report 2025 highlights the growing mismatch between the digital-first expectations of the next generation of high-net-worth individuals (HNWIs) and the tools currently available to relationship managers (RMs). The everyday barriers are well documented: 53% of firms cite a lack of technical know-how, while 51% point to staff shortages.
Looking at the technology trajectory, agentic AI is maturing faster than many anticipated. Gartner forecasts that by 2026, task-specific agents will be embedded in 40% of all enterprise applications.
fincite’s WealthTech Radar has tracked this evolution across several years. In 2023, AI was identified primarily as an efficiency lever, with automation flagged as a means of dramatically increasing the volume of productive advisory conversations. By 2024, the focus had sharpened around more specific value areas: improved forecasting, personalised client profiles, more efficient compliance management, and meaningful relief for relationship managers. In 2025, AI became established as a recognised service category, yet the chasm between high expectations and often disappointing real-world user experience.
The stakes at the RM desk are clear. Seventy-one percent of wealth management executives now view a digital-first approach as a decisive factor in client retention. Yet only around half of wealth management firms equip their relationship managers with AI-supported profiling and behavioural analytics, and only two in three offer digital tools for real-time portfolio insights, according to Capgemini.
For institutions looking to act, fincite identifies three immediate priorities. The first is securing short-term value through front-to-back use cases, including RM co-pilots for meeting preparation and research synthesis, next-best-action tools spanning the full client lifecycle, and automated suitability checks with documented explainability.
The second is industrialising the data foundation: a robust wealth data layer with clearly assigned responsibilities across master, transaction, portfolio, and interaction data, underpinned by EU-compliant governance, model registries, evaluation pipelines, and third-party risk controls.
The third is leveraging FinTech partnerships selectively, where speed-to-value is critical, without surrendering the control function.
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