People use AI assistants daily but won't let them spend money — unless a familiar name like Visa is standing behind the transaction.
Why do consumers trust Visa more than AI agents with payments?
This explores why people who already use AI assistants daily still hesitate to let an agent spend their money, and why a familiar payments name like Visa closes much of that gap.
This explores why people who use AI assistants every day still won't let one spend their money, and why attaching a name like Visa changes that. Here are the numbers. A Harris Poll for Visa found 72% of US adults use AI assistants, but only 23% trust AI to execute payments. When the question named Visa as the company handling agent-initiated transactions, 61% said they would trust it Does naming a payments brand increase trust in AI transactions?. Consumers aren't really comparing Visa and AI as rivals. They want a known intermediary standing behind the AI, and Visa ran the survey partly to make that case.
The gap has a structural explanation. An IMF analysis argues that agent payments should be split into layers. The probabilistic AI decides what to buy, and deterministic systems handle authorization and settlement. Payment rails need predictability and legal enforceability that a model's reasoning can't guarantee Should AI agents make payment decisions independently?. Consumers seem to sense the same division. An AI can be helpful and still guess, while Visa has spent decades being the boring, accountable part of a transaction. Trust also falls where mistakes cost more. Travelers who trust AI for brainstorming become wary when it handles high-stakes tasks like visa requirements, mostly because they fear hallucinations Do travelers trust AI differently for brainstorming versus visa tasks?. Paying is about as high-stakes as tasks get.
The infrastructure was also built for humans. Fraud engines and payment gateways look for signals of a human's identity and intent, and those signals disappear when an agent clicks "buy" Does agent-initiated commerce break existing payment infrastructure?. The industry's answer is to have trusted intermediaries vouch for agents cryptographically. Visa's Trusted Agent Protocol, built with Cloudflare, attaches signatures to an agent's requests. The signatures carry the agent's intent, recognition of the consumer, and payment data, so merchants can tell a legitimate agent from a bot Can cryptographic signatures help merchants identify trusted AI agents?. This layer is still missing on the merchant side. When Amazon blocked Meta's Muse shopping agent, it did so through terms-of-service enforcement, because no standard way exists for an agent to prove who it is and what it's authorized to do What identity standards do shopping agents actually need?. Much of the trust people give Visa is really trust in this kind of accountability: someone identifiable is on the hook.
A second reason is about loyalty rather than competence: whose side is the agent on? An agent that earns referral fees from merchants can't be fully loyal to both the merchant and the shopper Can an AI agent serve both merchant and user interests fairly?. Bob Hedges, Visa's former Chief Data Officer, warns that agents funded by advertising have built-in reasons to favor paid placements, however well they're engineered Do advertising-funded shopping agents favor paid product placements?. A card network earns money whichever product you buy, so it has no stake in which one you pick. That neutrality may count for more than any technical guarantee.
Trust in AI isn't uniformly low, though. Some surveys find people trusting AI's recommendations more than friends or newspapers, and a small group of "super-trusters" would let AI buy without return protections How much do shoppers trust AI shopping assistants?. Accenture found 74% would trust an agent with purchases, yet most still want to name the brands themselves. Their willingness depends on protections being in place first Do consumers actually want to delegate shopping decisions to AI?. There may be a good reason to keep that control. Agents that carry out purchases don't just follow your preferences. Through repeated back-and-forth they help shape what you want Do AI shopping agents reshape what consumers actually want?. So the hesitation isn't only about whether the agent pays correctly. It's also about whether the wants it acts on are still entirely yours, and a payments brand can't guarantee that.
Sources 11 notes
A Harris Poll survey found 72% of US adults use AI assistants, but only 23% trust AI to execute payments. When Visa's name was attached, 61% reported trust in the company to handle agent-initiated transactions—suggesting consumers prefer a recognized intermediary over AI alone.
An IMF analysis argues that agent-mediated payments must split probabilistic AI decision-making (Layer 1) from deterministic authorization and settlement (Layers 2–3) because core payment infrastructure requires predictability and legal enforceability that probabilistic reasoning cannot guarantee.
McKinsey and Skift's survey of 1,002 travelers found over 90% report confidence in AI travel information overall, but comfort drops significantly for high-stakes tasks like visa requirements compared to open-ended brainstorming, driven by concerns about AI hallucinations.
McKinsey argues that payment gateways and fraud engines built around explicit human identity and intent face significant strain when autonomous agents initiate transactions. The firm proposes cryptographically signed mandates as a replacement for human-observable signals fraud systems traditionally relied upon.
Visa developed Trusted Agent Protocol with Cloudflare to enable merchants to authenticate AI agents through agent-specific cryptographic signatures carrying intent, consumer recognition, and payment data. The protocol builds on HTTP Message Signatures and aims to bridge the gap between AI-assistant adoption and merchant trust.
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Amazon's block of Meta's Muse reveals that AI agents need standardized ways to identify themselves and prove authorization to retailers—separate from consumer-side credential security. Without such protocols, retailers enforce access through terms-of-service blocks rather than negotiated standards.
Azhar argues that agents like Meta's Muse, which earn referral fees from merchants like Expedia, face structural conflicts that prevent unbiased recommendations. The incentive to collect fees, not technology, determines which platforms build or block such agents.
Bob Hedges, former Visa Chief Data Officer at MIT, warns that advertising business models create structural incentives for shopping agents to favor paid placements over neutral recommendations, independent of technical design quality.
RTB House's survey found 39% of U.S. shoppers say AI understands their needs better than friends and family, and AI outranks newspapers and social media on trust. A minority segment called 'super-trusters' would allow AI to purchase autonomously without return protections.
Accenture's 25,590-person survey found 74% would trust an AI agent with purchases, yet 56% would specify brands and 37% of loyal consumers wouldn't switch. Delegation appetite depends on trust protections being in place first, not on capability alone.
Bilgihan and colleagues argue that transactional AI agents—which execute purchases rather than just recommend—end the consumer's sole cognitive role in preference formation. Preferences emerge through bidirectional feedback loops between agent learning and consumer trust, not independently beforehand.
Papers this line draws on 8
The research behind the notes this line reads — ranked by how closely each paper relates.
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- Agentic Commerce: Why Do Shoppers Delegate Purchase Decisions to AI?
- Visa Research: Consumer Trust is Enabling Path to Agentic Commerce
- When Agents Shop for You: Role Coherence in AI-Mediated Markets
- Payments in the Age of AI Agents
- Whom Do AI Agents Work For? Role Assignment Induces Sponsorship Bias in LLM Recommenders
- The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants
- Remapping travel with agentic AI