Banks are starting to realize genAI’s promise but are still short of its full potential
Personalizing chatbots is central to banks’ genAI strategies
Banks will lag with their own agentic AI applications, but agentic commerce will not wait
Customer trust, risk, and tech gaps continue to slow genAI and agentic AI adoption in banking
Recommendations for banks
EMARKETER Interviews
Sources
Media Gallery
About This Report
Fintechs, big tech, and payment players are using genAI to redefine finance. To compete, banks must pair strategic genAI investment with hyper-personalization and human support to earn customer trust and loyalty.
Banks are starting to realize genAI’s promise but are still short of its full potential
Personalizing chatbots is central to banks’ genAI strategies
Banks will lag with their own agentic AI applications, but agentic commerce will not wait
Customer trust, risk, and tech gaps continue to slow genAI and agentic AI adoption in banking
Recommendations for banks
EMARKETER Interviews
Sources
Media Gallery
Fintechs, Big Tech, and payment players are using genAI and agentic AI to collapse financial boundaries—connecting platforms and merging ecosystems to redefine value. To remain competitive, banks must respond with targeted genAI investments that enable hyper-personalized, human-centered experiences across customer life stages.
Key Question: How can banks capitalize on genAI and agentic AI to stay competitive as other tech-driven financial services players redraw industry lines?
Key Stat: GenAI has the potential to add $157 billion in value to US banking in 2025, with the front office capturing nearly half, per a February 2025 report from KPMG. But unlocking that value will require strategic and human-centered deployment.
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