FNZ has released what it describes as the most comprehensive global study to date on the impact of artificial intelligence in wealth and asset management, drawing on insights from more than 500 financial institutions across 16 markets. The institutions surveyed collectively oversee US$74.2 trillion in assets, representing roughly 44 per cent of global assets under management.
The report, The AI-Powered Investment Firm, outlines how quickly AI is reshaping operational models, adviser workflows and investment processes across the sector. According to the findings, 73 per cent of respondents believe AI is critical to the future of their business, and 63 per cent expect it to fundamentally transform wealth and asset management.
A further 88 per cent reported positive returns on their AI investments so far, with 19 per cent indicating gains of more than 7 per cent. Respondents said AI is already demonstrating value in areas such as operational automation, client-personalisation, risk management and portfolio analysis.
Despite concerns about workforce impacts, the majority of respondents expect AI to enhance — rather than replace — human advisers. Seventy-three per cent anticipate a significant lift in adviser productivity as AI handles routine tasks and operational processes, allowing human professionals to focus on relationship management and higher-value decision-making.
Governance remains a central focus for institutions moving deeper into AI deployment. Sixty-two per cent of respondents said clearer risk-management and regulatory guidelines would enable more effective adoption, while 81 per cent of organisations that classify themselves as “AI leaders” have already established formal governance frameworks and policies.
FNZ said the study reflects broad momentum across the Asia–Pacific region and global markets, with firms increasingly viewing AI as a strategic enabler rather than a discretionary technology investment. The company said the findings highlight the need for robust governance, data management and operational readiness as the industry transitions toward more AI-driven service models.
You can read the full report here.
