New global research finds the industry is outpacing all others on AI investment but hasn't converted that spending into a maturity advantage
Financial services firms are pouring money into artificial intelligence at a pace that leaves most industries behind, but a new report suggests that spending faster does not mean maturing faster.
The HTEC AI Value Realization Report 2026: Financial Services & Insurance, published October 28, 2026 by HTEC Group Inc., a global AI technology and engineering company based in Palo Alto, California, found that 42 per cent of financial services and insurance executives describe their AI investment as having increased significantly over the past 12 months. Across all industries, that figure is just 28 per cent.
However, when it comes to AI maturity - the ability to move beyond isolated use cases and embed AI at scale - the sector is exactly in line with the broader market. Forty-four per cent of financial services and insurance respondents are at the scaling stage or already AI-native, matching the overall survey sample precisely.
The findings, drawn from 235 financial services and insurance C-suite executives within a global survey of 1,500 conducted by Censuswide in July 2026, raise a pointed question for Canadian wealth management professionals already navigating the industry's AI moment: where is all that money going, and is it creating lasting capability?
Investment is outrunning readiness
The research points to people and processes as the primary bottleneck. Seventy-eight per cent of financial services and insurance respondents agreed that human and operational factors limit the value organisations extract from AI more than technology does.
That finding will resonate with Canadian advisors who have watched AI spending accelerate across major wealth management platforms, even as the practical questions of workflow integration and employee readiness remain unresolved.
Philip Otley, Global Managing Partner at HTEC, put it directly: "Financial institutions are investing heavily, but technology alone does not determine whether AI creates value. Results depend heavily on what happens around the technology: how AI is integrated into workflows, who owns the outcome, and whether employees are equipped to use it consistently."
There is also a disconnect in how the sector measures success. Thirty-four per cent of firms require a formal return-on-investment model before an AI initiative is approved, while 29 per cent assess returns only after implementation - suggesting that for a significant portion of the industry, value measurement is an afterthought rather than a design principle.
Decision quality, not cost-cutting, is the real prize
What financial services leaders want from AI may surprise those who assume cost reduction is the dominant driver. Better decision quality is the most commonly cited desired outcome, named by 31 per cent of executives surveyed. Cost reduction came in at 17 per cent.
That distinction matters for advisors. Research tracking how investors are already turning to AI tools for financial decisions suggests clients will increasingly judge firms not on efficiency but on the quality and consistency of the outcomes they receive. Firms that can demonstrate AI-supported decision quality and document it, may find themselves better positioned than those whose AI strategy is rooted in headcount reduction.
Governance is patchy across the sector
The report identifies risk oversight as a parallel weak point. Forty-two per cent of financial services and insurance respondents consider AI risk informally alongside value assessments, while only 16 per cent measure risk consistently across their full AI portfolios.
Lawrence Whittle, Chief Strategy Officer at HTEC, cautioned that oversight needs to be proportionate rather than blanket: "Not every AI-assisted decision requires the same level of oversight. The challenge is designing review processes that are proportionate to the risk involved, while ensuring that people have enough context and authority to exercise meaningful judgment when it matters."
The role of external partners is growing
Firms are also leaning more heavily on outside expertise than they anticipated. Approximately 21.5 per cent of financial services and insurance respondents report greater reliance on external partners or consultants than they had initially planned.
HTEC's analysis connects this to the complexity of moving AI from point solutions to enterprise-wide deployment - a challenge that requires strategy, data engineering, and governance to work together simultaneously.
That dependency is unlikely to diminish in the near term. New data on Canadian client preferences suggests 71 per cent of Canadians still place greater confidence in human judgment over AI - a finding that underscores the importance of advisors remaining central to the technology equation, rather than being sidelined by it. The firms that navigate this well are likely to be those that invest as deliberately in readiness as they do in technology itself.
The full HTEC AI Value Realization Report 2026: Financial Services & Insurance is available at htec.com.
