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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

Agentic Commerce Is Making Unwanted Purchases For Shoppers: Have AI Agents Gone Too Far?

AI systems are advancing from providing recommendations to autonomously making purchases, significantly affecting consumer behavior. Payment networks are exploring agentic commerce, where software conducts transactions on behalf of users. Visa has…

AI systems are advancing from providing recommendations to autonomously making purchases, significantly affecting consumer behavior. Payment networks are exploring agentic commerce, where software conducts transactions on behalf of users. Visa has successfully completed secure AI-initiated transactions with partners and anticipates a crucial year for agent-driven commerce in 2026. Mastercard is developing corresponding infrastructure through its Agent Pay initiative.

A survey by PSE Consulting indicates that 85% of UK shoppers planning AI-assisted holiday shopping would trust AI to place orders and make payments on their behalf. This growing trust allows businesses to innovate, but it also introduces challenges regarding responsibility and consent.

Agentic commerce presents unique challenges distinct from fraud or human error. AI systems might renew subscriptions, reorder unnecessary items, or make unexpected selections, potentially leaving customers dissatisfied. The payments industry's traditional reliance on user actions as signals of intent must evolve to accommodate these new dynamics.

Pricing models tied to AI-driven outcomes are being tested by some platforms, potentially leading to transactions occurring unnoticed by consumers. This could increase unrecognizable charges and disputes, necessitating revised approaches to consumer protection.

AI systems are advancing from providing recommendations to autonomously making purchases, significantly affecting consumer behavior.
Rebecca Stone · Thehackingpost

The shift towards AI-driven transactions raises questions about responsibility for incorrect or unauthorized purchases. As AI agents increasingly handle transaction processes, the potential for disputes grows, impacting consumers, merchants, and platforms.

Concerns exist regarding AI's potential to replace specialized software, with significant implications for private equity investments. The immediate challenge lies in maintaining trust, as disputes could test the resilience of existing systems.

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In AI commerce, trust is emerging as a key differentiator. Platforms with robust embedded payments and dispute resolution processes are likely to gain a competitive edge. Chargebacks911 suggests that merchants should establish clear permissions for AI agents, enhance transaction visibility, and maintain detailed records of AI actions. The success of agentic commerce hinges on maintaining the customer's intent at the forefront of transactions, with chargebacks serving as a fallback mechanism.

Based on reporting by techround.co.uk.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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