Topic starter
14/07/2026 4:24 pm
TL;DR: 61.5% of consumers have used AI for product discovery, yet 55.0% are not comfortable letting AI agents buy on their behalf and 50.8% assign responsibility for unauthorized purchases to the AI platform, according to Riskified’s Q1 2026 Agentic Commerce Pulse. The data shows agentic commerce is advancing faster than trust, authentication expectations, and accountability models.
Editorial analysis by NHI Mgmt Group, based on content published by Riskified: “Riskified Study Finds Consumers Aren’t Ready to Hand Over Control as AI Transforms Shopping, with Over Half Afraid of Online Fraud”.
By the numbers:
- 61.5% of consumers have used AI tools for product discovery and recommendations.
- 55.0% are not comfortable allowing AI agents to complete transactions on their behalf.
- 73.9% expect strong safeguards such as biometric verification or one-time passwords for every transaction.
Key questions
Q: What breaks when an AI shopping agent can act without clear purchase limits?
A: Without clear purchase limits, an AI shopping agent can move from convenience to delegated financial risk.
Q: Why do consumers expect stronger authentication when AI agents are involved in buying?
A: Because the risk shifts from simple account access to transaction integrity.
Q: How do security and fraud teams know whether agentic commerce controls are working?
A: They should measure both fraud loss and customer friction.
Practitioner guidance
- Define delegated purchase authority Document when an AI shopping agent may browse, shortlist, add to cart, or place an order, and require explicit scope for each step.
- Bind authentication to the transaction Use step-up controls such as biometrics or one-time passwords for higher-risk purchases, and tie approval evidence to the specific checkout event.
- Log agent-driven purchase evidence Capture which identity initiated the action, what scope was granted, which prompts or approvals were present, and how the final order was authorised.
Bottom line: Consumers are using AI widely for shopping discovery, but the trust boundary collapses once those tools are allowed to complete purchases autonomously.
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This topic was modified 5 hours ago by NHI Mgmt Group
14/07/2026 4:32 pm
Agentic commerce introduces a delegated identity problem, not just a fraud problem. Once an AI agent can move from recommendation to transaction, the trust boundary changes from user intent to delegated authority. That means merchants and payment flows need to know whether the agent is acting under explicit, scoped permission or simply leveraging a reused session. Practitioners should design for delegation proof, not assume the human remains the only meaningful actor.
A few things that frame the scale:
- Global e-commerce fraud losses are projected to reach $107 billion a year by 2029.
A question worth separating out:
Q: What is the difference between a human checkout session and an AI shopping agent session?
A: A human session assumes the customer is the final actor, while an AI agent session introduces delegated authority that may outlive the original intent. The practical difference is that the agent needs its own governance, including scoped permissions, stronger transaction binding, and separate audit evidence.
👉 Read our full editorial: AI shopping agents expose a trust gap in autonomous commerce
This post was modified 5 hours ago by NHI Mgmt Group