People use AI assistants daily but won't let them touch their money — why does trust stop right at payments?
Why do consumers resist letting AI control payment authority directly?
This explores why people who already use AI assistants still don't want those assistants to move their money on their own, and what the corpus says is behind that hesitation beyond a general fear of AI.
This explores why people who already use AI assistants still don't want those assistants to move their money on their own. The first thing the corpus shows is that people don't lack trust in AI across the board. They stop trusting it at one particular point, and the numbers make that clear. A Harris Poll for Visa found that 72% of US adults use AI assistants but only 23% trust AI to make payments Does naming a payments brand increase trust in AI transactions?. A Public First survey of 18,000 people in 15 countries found the same pattern: 45% think AI will change the world, but only 29% would give an agent access to their bank account How willing are people to let AI control their finances?. Yet Accenture reports that 74% would trust an agent with purchases Do consumers actually want to delegate shopping decisions to AI?. Those figures look contradictory until you notice that people separate letting AI help them choose from letting AI pay. Most of the same people who would let an agent shop still want to name the brands and keep control of the final step.
The kind of control people ask for tells you what worries them. When RTB House asked which safeguard shoppers wanted most, the top answer was approving a purchase before it happens (35%, rising to 44% among baby boomers) Do consumers want to approve AI shopping purchases before they happen?. In other words, people don't object to AI being involved. They object to the moment that can't be undone. A payment can't be reversed, it has real consequences, and it is hard to check after the fact. Those are the conditions under which people want to stay in the loop. Only a small group of 'super-trusters' would let AI buy without return protections How much do shoppers trust AI shopping assistants?. Acceptance does rise when people can see a concrete benefit, such as an assistant that grabs a scarce item before it sells out What drives shoppers to accept autonomous AI assistants?. So the resistance can be overcome case by case. It isn't a fixed fear.
This caution may be well founded. One benchmark compared 17 language models with human shoppers making the same choices. When prices, ratings, or nudges changed, the agents swung their choices much further than people did, falling into rigid, rule-like patterns Do shopping agents respond more strongly to price and rating cues?. An agent holding your payment details is therefore an easier target for a clever seller than you are. Incentives are a second problem. If an agent earns referral fees from merchants, it can't be fully loyal to both the merchant and you Can an AI agent serve both merchant and user interests fairly?. Privacy is a third. The better an agent personalizes on your behalf, the more it reveals about what you want, and prompt instructions can't stop that leak Can better prompts stop preference leakage in AI shopping?.
The less obvious finding is about who protects you when something goes wrong. EU consumer law rests on assumptions about an 'average consumer', disclosure rules, and protections for vulnerable buyers, all designed around how humans think. Those assumptions stop working once the buyer is an algorithm Can EU consumer law protect AI agents as algorithmic buyers?. That helps explain the Visa result: trust jumped from 23% to 61% when a familiar payments brand was attached Does naming a payments brand increase trust in AI transactions?. Consumers seem to be looking for someone accountable, a party who will cover the loss or dispute the charge. Accenture's finding that consumers prefer agents built by retailers points the same way Will brands succeed by building their own AI shopping agents?.
There is one more reason to keep the approval step. Bilgihan and colleagues argue that once agents carry out purchases rather than just recommend them, your preferences are no longer formed only in your own head. They develop through back-and-forth with the agent, which learns from you while you learn to trust it Do AI shopping agents reshape what consumers actually want?. Seen this way, holding on to the 'approve' button isn't only about avoiding fraud. It may be how people keep their wants their own. The surveys measure stated attitudes rather than real behavior, so these explanations come from reading across the evidence and haven't been tested directly.
Sources 12 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.
A Public First survey of 18,000 people across 15 countries found that while 45% believe AI will significantly change the world, just 29% would grant an AI agent access to their bank account, revealing a distinct trust ceiling for financially sensitive delegation.
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.
RTB House's survey found pre-purchase human sign-off is the safeguard consumers most want from AI shopping agents, with 44% of baby boomers preferring it. This preference aligns with how irreversible, visible actions trigger higher oversight demands.
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.
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Five studies including real ad click-through data show that perceived benefits, not personal sense of power, drive consumer adoption of high-autonomy AI shopping assistants—especially when scarcity amplifies the assistant's value.
A benchmark testing 17 LLM models against humans on binary product choices found agents exhibited much larger choice shifts in response to price, rating, and nudge interventions—collapsing into rule-like patterns rather than the modest probabilistic shifts humans showed.
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.
Research shows that when AI agents personalize their behavior to help shoppers, they inevitably leak preference information through their improved service—not through rule violations. Prompt-level privacy directives cannot stop this because the leak rides on competent personalization, requiring architectural trade-offs instead.
The article argues EU consumer law must be redesigned because its core doctrines—the average-consumer test, disclosure rules, vulnerability protections, and unfair-practice standards—were built for human cognition and decision-making, not AI agents making autonomous purchases.
Accenture reports 71% of consumers expect AI agents to influence half their spending within 12 months and prefer retailer-built agents. However, the evidence reflects consumer preferences in surveys rather than demonstrated agent capability or functioning comparison infrastructure at scale.
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.
- Agentic Commerce: Why Do Shoppers Delegate Purchase Decisions to AI?
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer
- When Agents Shop for You: Role Coherence in AI-Mediated Markets
- The AI Agent in the Room: Rethinking Consumer Decision-Making in the Age of Autonomous AI
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
- A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
- Consumer Pulse Research 2026: Talk to my AI agent