Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027
The coming year will signal an abrupt transition from digital banking to intelligent finance, as AI agents and operating models reshape the ways that financial firms acquire customers and provide advice. This is the central thesis of a new Forrester Research report, “Predictions 2027: Banking and Investing.” The findings were summarized from data involving 915 […] The post Research prediction:…
The financial services sector is poised for a seismic shift in 2027, according to a new Forrester Research report, "Predictions 2027: Banking and Investing." The report, based on data from 915 respondents across the U.S., U.K., and Canada, predicts a dramatic transformation from digital banking to AI-driven finance. Forrester identifies several key areas of change, including automation in financial discovery and guidance, the pervasive influence of AI assistants, and the challenge of scaling AI deployment.
A key point of transition is the belief that AI agents and operating models will reshape customer acquisition and advice provision. However, while one-third of banks will announce AI transformation programs, only five percent are expected to succeed. This low success rate is attributed to many banks rebranding existing AI initiatives as AI-native without significant infrastructure changes.
According to the report, the key to successful AI deployment lies in the ability to scale operations, a challenge highlighted by Dell Technologies Inc. CFO David Kennedy. Kennedy emphasizes the need for financial institutions to navigate hybrid computing environments to acquire proprietary data assets, governance capabilities, and AI-native orchestration.
Another critical area of change is the rise of AI agents. Forrester predicts that 40% of banks will launch AI assistants next year. The challenge for many financial institutions will be leveraging these assistants to deliver differentiated guidance using proprietary data, decisioning, and specialist expertise. According to Dell's Chief Technology Officer and Chief AI Officer John Roese, retaining proprietary knowledge in-house can provide a competitive advantage.
Roese stresses that when designing AI systems, financial institutions must recognize that their moat lies in their unique knowledge, not just the tools or models used. Support open and free content by engaging with theCUBE community and joining the Alumni Trust Network, where technology leaders connect, share intelligence, and create opportunities.
Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
