AI Could Unlock $300 Billion In Profit For Retail Banks by 2030

AI could generate up to $300 billion in additional profits for retail banks globally by 2030, according to a new report from Boston Consulting Group (BCG).

The study highlights that AI adoption is no longer optional, but essential for banks that aim to remain competitive in a rapidly evolving financial landscape, and that the time for transformation is now. Institutions embracing AI holistically will be best positioned to capture the full economic upside.

The report outlines three key areas where AI can drive value: hyper-personalized customer engagement, operational efficiency, and advanced risk management.

In particular, the report focuses on the benefits of agentic AI. By leveraging generative AI and machine learning, banks can automate routine tasks, tailor real-time financial advice, and detect fraud more effectively.

BCG’s report highlights that despite barely having a presence a year ago, AI agents now represent 17% of AI-derived value across industries, a figure that could reach 29% by 2028.

The report predicts that traditional banking products will evolve into adaptive, behavior-driven financial solutions. Interfaces will become invisible and embedded within everyday digital ecosystems, while autonomous AI will manage workflows, compliance, and risk at near-zero marginal cost.

Realizing this potential will, however, require a firm hand on strategic investment and robust data governance, according to the report.

"Too many banks are stuck in 'deploy' mode, automating tasks without rethinking their business,"  said Bharat Poddar, BCG managing director and coauthor of the report. "Those that fail to scale and invent will fall behind. AI-first banking requires more than tools; it demands a reinvention of the operating model."