HCLTech Reveals 84% of Wealth Managers Need Operating Model Redesign to Scale AI

Quick Summary

Wealth management firms are struggling to bridge the gap between AI investment and measurable business outcomes. HCLTech’s latest research indicates that while 98% of leaders have an AI agenda, 84% admit their operating models need a fundamental redesign to successfully integrate AI in wealth management and drive revenue growth.

How is HCLTech Identifying AI Blind Spots in Wealth Management?

HCLTech’s "Hidden In Pl(AI)n Sight" report identifies three critical barriers: Ambition, Execution, and Strategy. While firms are eager to adopt new technology, many remain stuck in an "Ambition blind spot," funding AI primarily for minor efficiency gains rather than total business transformation. The research, which utilized 1,066 synthetic personas across 17 global markets, found that 98% of leadership teams are pursuing AI, yet only 7% are building agentic AI capabilities. To overcome these hurdles, firms must shift focus from simple adoption to reimagining business operations. Key metrics revealed that only 12% of firms are currently measuring the new revenue streams that AI-driven redesigns should produce, highlighting a significant disconnect between investment and ROI tracking.

What Role Does Proprietary Data Play in AI Success?

The research emphasizes that proprietary client knowledge is the most significant differentiator for firms looking to gain a competitive edge. Executives ranked first-party behavioral data as more valuable than cloud platforms or AI partnerships. Successfully implementing AI in wealth management requires orchestrating technology alongside human expertise and ecosystems. Confidence in this transition varies wildly by region:

• APAC leads confidence at 89%.
• North America follows at 84%.
• Europe lags significantly at just 38.3%.

Firms that prioritize data-driven client insights over generic technology infrastructure will be better positioned to orchestrate AI effectively and maintain trust with high-net-worth individuals.

Why is Agentic AI the Next Frontier for Wealth Firms?

The shift toward agentic AI capabilities represents the next evolution of the industry, yet adoption remains in its infancy. Srinivasan Seshadri, Chief Growth Officer at HCLTech, notes that the industry has a "choices problem" rather than an investment problem.

"The industry doesn't have an investment problem. It has a choices problem," said Srinivasan Seshadri, Chief Growth Officer and Global Head of Financial Services, HCLTech. "Nearly every wealth management firm is spending on AI. Far fewer can say which programs they are funding, how far AI actually reaches into the operating model, or whether they're measuring the outcomes that matter — new client value, growth and revenue models. Our research found that 84% of leaders want a fundamental redesign, yet just 12% are measuring the new revenue that the redesign should produce. That's the blind spot the winners will close first."

By focusing on measurable business outcomes and new client value, firms can move beyond the "Execution blind spot" and turn AI enthusiasm into tangible growth metrics.

FF NEWS TAKE:

This report highlights a sobering reality: the industry is currently "AI-washing" its existing processes rather than evolving. The fact that only 7% of firms are exploring agentic AI suggests that the true potential of AI in wealth management remains untapped. HCLTech is right to call out the "choices problem"; until firms stop chasing efficiency and start funding fundamental model redesigns, they will continue to see diminishing returns on their tech spend. The regional confidence gap in Europe is particularly concerning for global players.