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Why Building AI Agents Is No Longer the Hardest Part of Agentic Commerce

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Why Building AI Agents Is No Longer the Hardest Part of Agentic Commerce

Agentic commerce is becoming an infrastructure race. The biggest agentic constraint today is not whether AI can shop but whether the systems surrounding that AI can determine what an agent is allowed to do, who is responsible when something goes wrong and how a machine-initiated transaction moves safely across merchants, banks and payment networks.

“We don’t see this so much as a new channel, as much as a new interface for interacting and engaging with commerce,” Sabrina Tharani, senior vice president, Global Fintech Programs at Mastercard, said in a conversation hosted by PYMNTS CEO Karen Webster.

“The first real mainstream adoption of agentic transactions is going to be low-value but high-frequency purchases, where consumers are prioritizing speed and convenience over everything else,” Tharani said, adding that Mastercard announced a 22-company agentic commerce and services cohort through Start Path, its startup engagement program.

The implication is that agentic commerce will not arrive as a wholesale replacement for conventional shopping. It will expand from areas where consumers already tolerate automation into transactions requiring progressively greater levels of trust.

Much of the agentic commerce debate has focused on the endpoint: autonomous software capable of searching, comparing, negotiating and buying on behalf of a consumer. The more useful question is what consumers will delegate first.

Tharani reiterated the benefits agentic can bring to recurring payments, household staples and eventually seasonal purchasing moments such as back-to-school and holiday shopping. These are categories where the cost of a bad decision is relatively low and the value of saving time is relatively high.


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