Mastercard looks to transform payment landscape with use of agentic AI
Mastercard is developing agentic AI technology to enable AI-powered assistants to make purchases on behalf of users, with early deployments already underway in Australia. The company is establishing security frameworks and collaborating with partners to ensure trusted, transparent, and secure AI-driven transactions globally, including in Jamaica where digital payments are growing." "article": "Mastercard is advancing agentic AI to revolutionize digital payments, allowing AI-powered assistants to conduct transactions autonomously after user authorization. The technology, already tested in Australia through its Agent Pay solution, could influence up to 55 percent of consumer spending by 2030, equivalent to A$670 billion annually. In Jamaica, where digital payments are rising—with contactless adoption at 56 percent—Mastercard’s Caribbean Country Manager Dalton Fowles emphasized the company’s focus on building secure frameworks for AI-driven commerce. The system would enable users to instruct AI agents to research products and complete purchases, managing subscriptions and financial tasks on their behalf. Mastercard’s existing AI capabilities, such as fraud detection, will extend to agentic transactions, ensuring transparency and governance. The company is collaborating with global partners to set standards for secure, authenticated AI transactions while maintaining consumer protections. Fowles noted that while the concept may seem futuristic, agentic AI payments are already operational in select markets. Mastercard’s trusted framework aims to integrate AI agents into payment flows as regulated participants, preventing fraud and ensuring accountability. The push aligns with Jamaica’s growing digital payment trends, where traditional methods like debit and credit cards coexist with emerging technologies. Beyond AI, Mastercard is strengthening partnerships across the fintech ecosystem to support evolving payment methods. The company’s long-term vision includes embedding agentic AI into everyday commerce, reducing manual processes and enhancing efficiency. Early assessments suggest strong consumer acceptance, particularly in regions where digital transactions are rapidly expanding.
Mastercard is advancing agentic AI to revolutionize digital payments, allowing AI-powered assistants to conduct transactions autonomously after user authorization. The technology, already tested in Australia through its Agent Pay solution, could influence up to 55 percent of consumer spending by 2030, equivalent to A$670 billion annually. In Jamaica, where digital payments are rising—with contactless adoption at 56 percent—Mastercard’s Caribbean Country Manager Dalton Fowles emphasized the company’s focus on building secure frameworks for AI-driven commerce. The system would enable users to instruct AI agents to research products and complete purchases, managing subscriptions and financial tasks on their behalf. Mastercard’s existing AI capabilities, such as fraud detection, will extend to agentic transactions, ensuring transparency and governance. The company is collaborating with global partners to set standards for secure, authenticated AI transactions while maintaining consumer protections. Fowles noted that while the concept may seem futuristic, agentic AI payments are already operational in select markets. Mastercard’s trusted framework aims to integrate AI agents into payment flows as regulated participants, preventing fraud and ensuring accountability. The push aligns with Jamaica’s growing digital payment trends, where traditional methods like debit and credit cards coexist with emerging technologies. Beyond AI, Mastercard is strengthening partnerships across the fintech ecosystem to support evolving payment methods. The company’s long-term vision includes embedding agentic AI into everyday commerce, reducing manual processes and enhancing efficiency. Early assessments suggest strong consumer acceptance, particularly in regions where digital transactions are rapidly expanding.
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