AI agents may soon begin transacting on their own, but the real tension lies in whether existing payment systems can handle machines that need programmable, always-on rails.
Key Takeaways:
Autonomous AI agents need programmable payment rails available around the clock.Agentic payments remain two to three years away from mainstream commercial use.A separate study found AI models favored bitcoin and stablecoins over traditional fiat in controlled monetary scenarios.The key point is not that AI agents are already transforming payments at scale. It is that autonomous transactions would place different demands on payment rails. Kozenko’s argument is that systems used by AI agents would need to be programmable, continuously available and compatible with machine-driven activity.
A Separate Study Shows Why Digital-Native Money Is Part of the Debate The Hard Part Is Still AheadKozenko said agentic payments are not yet a mainstream commercial reality. His timeline places that shift roughly two to three years away. That makes today’s decisions important because companies may be designing the systems that future AI agents will either be able to use or struggle to access.
Kozenko said:
“We are probably still two to three years away from agentic payments becoming a mainstream commercial reality, but the infrastructure decisions being made today will define what that future looks like. Companies building payment systems should already be thinking about machine-readable interfaces.”
The phrase “machine-readable interfaces” points to the unresolved technical challenge. Kozenko’s reference suggests payment systems built for autonomous agents would need to be understandable and usable by software, not just people. Without that layer, programmable payment rails may exist, but AI agents may still lack a practical way to use them at scale.
