Visa puts $100M behind generative AI in commerce

While everyone has been using generative AI to write emails and generate pictures, the people running the global payments rails are stepping in with cash.

Payments giant Visa announced a $100 million generative AI ventures initiative. The capital is being deployed by Visa Ventures, the company's corporate investment arm that has been backing commerce and fintech players since 2007. The clear target is the next generation of startups building generative AI tech and applications that could shape the future of commerce and payments.

Shifting from content creation to commerce

Visa isn't exactly new to machine learning. The company points out that it has been using AI in payments since as early as 1993, mainly behind the scenes for security and network operations.

This new initiative is specifically aimed at large language model technology. Visa's Chief Product and Strategy Officer, Jack Forestell, noted that while most generative AI hype so far has focused on individual tasks and content generation, it will soon meaningfully reshape how people buy, sell, and conduct business.

David Rolf, head of Visa Ventures, echoed that view, saying the team wants to back disruptive, venture-backed startups operating directly at the intersection of generative AI, commerce, and payments.

Why it matters

For founders building in fintech and retail tech, this is big news. If you are developing agentic shopping, automated checkout flows, or merchant analytics, you now have access to capital from the world's most dominant payments network. Getting an enterprise backer like Visa at the table early can mean real distribution and compliance guidance, making it well worth pitching.

For the broader industry, it signals where the real battle lines for generative AI are heading: the point of sale. Conversational AI is neat, but the endgame for consumer tech has always been monetizing intent. If AI agents start managing consumer shopping lists and executing transactions autonomously, payments infrastructure has to adapt immediately.

We think Visa is playing this smartly. A $100 million allocation is modest for a corporate giant, and it wisely avoids burning billions on training foundational models. Instead, it buys Visa a front-row seat to practical use cases right as they emerge, though the real challenge will be finding startups that can handle complex financial security while moving fast.