AI Labs Unlikely to Become Banks, Say Fintech Investors
At a fintech summit, investors argued that frontier AI labs like Anthropic and OpenAI will partner with, not replace, regulated banks.
Leading frontier AI labs are pushing into financial services but are unlikely to become banks themselves, according to investors speaking at a recent summit. The discussion at the Fintech for Inclusion Global Summit, organised by Accion Ventures, centered on whether companies like Anthropic and OpenAI could dominate banking.
Monica Engel, co-founder and managing partner of Quona Capital, stated that labs will get close to banking without becoming banks. "Banking is slow, capital-intensive and built on credit risk, it sits awkwardly next to a research lab, and labs won't want to go there," she said. Engel argued the future is in "agentic" autopilot money systems, with AI labs creating value by partnering with existing regulated entities.
The Model vs. The Banking System
Adrian Congiu, VP of product at Mambu, drew a distinction between areas where raw AI model capability wins and the banking sector. He said frontier labs succeed in domains like reasoning, text, code, and images, where every training dollar improves a unified product. Banking, however, derives value from the ecosystem surrounding the model: process knowledge, regulatory compliance, auditability, and legacy system workflows.
"No frontier lab will build loan compliance for every geography globally," Congiu stated. He believes competing with labs on pure model capability is a losing strategy, but the entrenched, localized nature of banking presents a different challenge.
Regulatory Moats and Vertical Ownership
Other panelists emphasized the protective strength of regulation and the importance of vertical integration within finance. Rahil Rangwala, managing partner at Accion Ventures, called regulations and local compliance "strong moats" for the banking industry. He observed that frontier models are focused on driving global token usage and will likely enable regulated partners rather than operate as regulated entities themselves.
Alexia Yannopoulos, partner at Apis Partners, noted that vertical ownership-controlling licensing, distribution, and data-remains a significant advantage for incumbent financial services firms.
Historical Parallels and Scale
Ameya Upadhyay, general partner at Flourish Ventures, recalled earlier fears about tech giants entering finance. "I remember 2017, 2018, when everybody was scared that Amazon would be the next big bank," he said. Upadhyay suggested the complexity of financial services is a deterrent, and the opportunity is relatively small for AI labs with vast ambitions. He estimated that Anthropic entering banking might add only $10 billion to a company he valued at $1.8 trillion, calling the potential gain "meaningless."
The consensus from the summit is that frontier AI labs will be powerful enablers within finance, not direct competitors to banks. Their path to influence is seen through partnerships that use AI for automated, agentic financial services while relying on established institutions to handle regulation, risk, and legacy infrastructure.
