Why Payments Infrastructure Beats Features in AI Era

That does not mean incumbents lose. Howard argued that the hard work of building secure, compliant, scalable infrastructure before AI arrived may be the best preparation for the AI era. “If you’ve already done a lot of that hard work building up a very strong payment strategy that felt resilient in the pre-AI world, you might even be more prepared for this new era than you think,” he said.

Buyers of payment technology are no longer reacting only to immediate pain. They are asking strategically where AI will reshape commerce over the next several years. Data platforms and workflow orchestration tools fall into the vitamin category – nice to have, harder to sell in a budget cycle, potentially decisive when the next wave of AI-driven commerce arrives.

“Data platforms, workflows, those are vitamins,” Howard said. “Those are things that are going to help you optimize your strategy going forward.”

The read-through for payments investors is not about betting on the latest feature. The companies that already own the aspirin functions – secure capture, reliable routing, compliant settlement – and have built the data infrastructure to layer AI on top may be the ones that keep their margins. The providers that rely on feature differentiation alone risk getting squeezed as AI commoditizes the next batch of capabilities.

Howard summed it up: “I think payments, uniquely, because it’s so infrastructural, has been set up with a lot of the fundamentals around compliance and security so that it can scale with AI.”

The companies that invested in that foundation before the hype cycle started may find AI amplifies their advantage rather than erases it.