A new HCLTech study finds a wide AI readiness gap in global wealth management. While 84% of firms say their operating models need fundamental redesign to capture the value of artificial intelligence, fewer than 10% are prepared for the transition. The report, titled Hidden In Pl(AI)n Sight, is based on 1,066 representative AI personas modelled on senior decision-makers across 17 markets. It shows that 98% of leadership teams are actively pursuing an AI agenda, yet only slightly more than 7% are building agentic AI capabilities. Three blind spots stand out. An ambition blind spot means firms recognise the need for change but mainly fund efficiency projects. An execution blind spot leaves technology investment unmatched by investment in proprietary client data and insights. A strategy blind spot leads firms to track adoption rather than impact on growth and revenue. HCLTech’s Srinivasan Seshadri said the industry has a choice problem, not an investment problem.
A new HCLTech study finds a wide AI readiness gap in global wealth management. While 84% of firms say their operating models need fundamental redesign to capture the value of artificial intelligence, fewer than 10% are prepared for the transition. The report, titled Hidden In Pl(AI)n Sight, is based on 1,066 representative AI personas modelled on senior decision-makers across 17 markets. It shows that 98% of leadership teams are actively pursuing an AI agenda, yet only slightly more than 7% are building agentic AI capabilities. Three blind spots stand out. An ambition blind spot means firms recognise the need for change but mainly fund efficiency projects. An execution blind spot leaves technology investment unmatched by investment in proprietary client data and insights. A strategy blind spot leads firms to track adoption rather than impact on growth and revenue. HCLTech’s Srinivasan Seshadri said the industry has a choice problem, not an investment problem.