AI transformation in wealth management stalls at ambition, study finds
Regional variation is notable. The study found APAC markets (89 per cent) and North America (84 per cent) show the strongest confidence that human-AI orchestration will define future winners, while Europe lagged considerably at approximately 38 per cent. The report does not break out Canadian data separately, but North American results provide a relevant directional signal.
Methodology sets study apart
The research itself represents an unusual approach to market intelligence. Rather than conducting a conventional survey of human respondents, HCLTech and Evidenza built AI personas modelled on real wealth management executives, then surveyed those personas at scale. Subject matter experts – practitioners, researchers, and industry specialists – were involved throughout, both in designing the personas and in validating the findings.
HCLTech describes the process as consistent with the same AI-at-scale, human-judgment-at-critical-moments model the firm advocates to clients. It is also, the company acknowledges, a deliberate demonstration of what synthetic research can deliver: the speed and scale of AI, grounded by human expertise at each decision point.
As Canadian advisors and wealth management executives consider where to focus their own AI investments, the study’s central argument is a useful benchmark. Building AI capability is only part of the challenge. Translating it into measurable client and business outcomes and knowing how to track the difference, id where most of the industry, according to this research, still has meaningful ground to cover.
For advisors curious about how generative AI is reshaping the Canadian wealth management landscape, the HCLTech study adds a global dimension to a conversation that is increasingly local. And for firms wondering whether they are ahead or behind, the numbers offer a sobering reality check: 84 per cent say transformation is necessary; fewer than one in ten have built the capabilities to execute it.
