A joint study from Visa and Artemis has identified infrastructure bottlenecks as the primary obstacle preventing broader commercial adoption of the autonomous AI agent economy. The findings suggest that while the technology behind AI agents has matured, the underlying systems needed to support them at scale remain fragmented and underdeveloped.
What the research found
The report, based on analysis of current AI agent deployments and payment infrastructure, points to several choke points. These include limited interoperability between different agent platforms, a lack of standardized payment rails for machine-to-machine transactions, and insufficient identity and security frameworks for autonomous entities. Without these foundational pieces, companies that want to deploy AI agents for tasks like automated purchasing, supply chain management, or financial services face high integration costs and operational risks.
Autonomous AI agents—software programs that can act on behalf of users or businesses without human intervention—are seen as a next frontier in digital commerce. They could handle everything from negotiating contracts to executing trades. But the study argues that the current infrastructure was built for human-to-human or human-to-machine interactions, not for machines acting independently. Visa and Artemis note that payment networks, identity verification systems, and data-sharing protocols all need to evolve.
What's needed
The research outlines several areas for improvement. Payment rails must support microtransactions and real-time settlements between AI agents. Identity systems need to verify not just humans but also the authority and trustworthiness of autonomous software. And data standards must allow agents to communicate securely across different platforms. The report stops short of prescribing specific solutions but calls for industry-wide collaboration to build these components.
Visa and Artemis plan to release more detailed technical recommendations later this year. In the meantime, the findings are likely to fuel discussions among fintech firms, cloud providers, and regulators about how to prepare for a wave of autonomous commerce. The question now is whether the industry can move fast enough to clear the bottlenecks before the AI agent economy stalls before it even gets started.
