The report, titled "Hidden In Pl(AI)n Sight," identifies a disconnect between widespread AI adoption and measurable business impact. Although 98% of leadership teams are actively pursuing AI agendas, only 7% are currently developing agentic capabilities. This gap stems from three primary blind spots: firms prioritize efficiency gains over transformation, neglect the integration of proprietary client data, and fail to track how AI deployments directly influence revenue or client growth.
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Wealth management faces AI identity crisis as ambition outpaces execution
While 84% of global wealth management firms acknowledge that their current operating models require a fundamental redesign to leverage artificial intelligence, fewer than 10% are actually prepared for the transition, according to a synthetic research report released by HCLTech based on data from 1,066 AI-modeled industry personas.
Srinivasan Seshadri, Chief Growth Officer at HCLTech, argues that the industry suffers from a choices problem rather than a lack of capital. While nearly every firm is investing in technology, few have clear metrics for success. Only 12% of surveyed leaders track the new revenue generated by AI-driven redesigns. The research suggests that the firms likely to secure a competitive advantage are those that augment their unique proprietary knowledge with AI, rather than those simply scaling automated tools. Regional readiness also varies significantly, with APAC and North American firms reporting higher confidence levels at 89% and 84% respectively, while European firms trail at 38%.
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