Shoppers say they trust AI with their money more than their best friend — but does that trust survive when it's time to actually pay?
Do shoppers trust AI assistants to help them make purchase decisions?
This explores whether shoppers are actually willing to let AI assistants guide or make their buying choices, and where that trust stops.
This explores whether shoppers are willing to let AI assistants guide or make their buying choices, and where that trust runs out. The survey numbers say yes, and strongly. RTB House found that 39% of U.S. shoppers think AI understands their needs better than their friends and family do, and they rank AI above newspapers and social media as a source they trust How much do shoppers trust AI shopping assistants?. Accenture's survey of more than 25,000 people found that 74% would trust an AI agent to make purchases for them Do consumers actually want to delegate shopping decisions to AI?. On the surface, shoppers have already decided.
Look closer and the trust splits in two: trusting AI to advise you is different from trusting it to spend your money. Visa's Harris Poll found that 72% of U.S. adults use AI assistants, but only 23% trust AI to make payments. When a familiar payments brand was named as the go-between, trust in that company jumped to 61% Does naming a payments brand increase trust in AI transactions?. People also want to stay in charge. In Accenture's data, 56% would still tell the agent which brands to buy Do consumers actually want to delegate shopping decisions to AI?. The safeguard consumers ask for most is approving a purchase before it goes through, and 44% of baby boomers want that Do consumers want to approve AI shopping purchases before they happen?. Only a small group of 'super-trusters' would let AI buy with no return protection How much do shoppers trust AI shopping assistants?. Be careful with headline figures like 'AI will shape half my spending within a year.' They come from surveys of what people prefer, not from watching agents actually do the shopping Will brands succeed by building their own AI shopping agents?.
The experiments show what builds trust, and the answer is not what you might expect. Across five studies that included real ad click data, people accepted highly autonomous shopping assistants because they saw clear benefits, not because the assistants made them feel in control. The effect was strongest when items were scarce and the assistant's help mattered more What drives shoppers to accept autonomous AI assistants?. In a 484-person Alexa experiment, shoppers who compared fewer products were more satisfied with their choice and more willing to hand decisions to the voice assistant. That reverses the usual pattern, where comparing more options makes people feel more confident Does limiting product choices increase trust in voice assistants?. A narrow set of options can make delegation feel easier.
The bigger question the corpus raises is whether this trust is deserved. A benchmark comparing 17 LLMs with human shoppers found that the agents changed their choices much more than humans did in response to price cues, ratings and nudges, often switching to rigid rules where people shifted only slightly Do shopping agents respond more strongly to price and rating cues?. So an agent can be easier to manipulate than the person it shops for. Business models add pressure. Agents funded by advertising have a built-in reason to favor paid placements, however well they are engineered Do advertising-funded shopping agents favor paid product placements?. Sellers also adapt. In a market simulation, they won back about a third of shoppers' AI-driven savings by raising headline prices while cutting extra fees Do sellers recapture savings when AI assistants help buyers?.
The least expected point is that 'trust' assumes your preferences are already settled before you ask the agent. Bilgihan and colleagues argue that agents which complete purchases, rather than just recommend, shape what you want through repeated back-and-forth. As you trust the agent more, it learns more and steers more Do AI shopping agents reshape what consumers actually want?. So the better question may not be whether shoppers trust AI, but whose preferences the AI ends up serving once they do.
Sources 11 notes
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.
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.
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.
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.
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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 484-person experiment found that evaluating fewer alternatives while shopping through Alexa predicted higher decision satisfaction and greater intention to cede autonomy to the assistant—reversing the typical pattern in other shopping contexts. The effect held across different brand types and price levels.
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.
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.
A market simulation shows adaptive sellers recover roughly one third of assisted consumers' savings by raising headline rates while cutting contingent fees. Surprisingly, non-adopters experience minimal burden—a projected +3.6 cost becomes +0.4 actual—suggesting the feared bystander tax does not materialize.
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?
- Agentic AI in Retail: How Autonomous Shopping Is Redefining the Customer Journey
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- The AI Agent in the Room: Rethinking Consumer Decision-Making in the Age of Autonomous AI
- When Agents Shop for You: Role Coherence in AI-Mediated Markets
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
- Consumer Pulse Research 2026: Talk to my AI agent
- Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer