AI gift shopping may seem convenient, but a present chosen with artificial intelligence may arrive with an unexpected secret: the person giving it might prefer not to say how they found it. In Visa’s 2026 holiday shopping survey, 41% of American adults said they would not tell a recipient that AI had helped select their gift. The finding captures a small social awkwardness beneath a much larger change in shopping habits. People welcome convenient suggestions, but the thought behind a present still matters.
This was a survey of attitudes, not an investigation into what happens when people actually exchange Christmas presents. The wording also does not establish that respondents would actively lie if asked. Some might simply consider the method irrelevant. Even so, the response raises a recognisable question. If a computer helps someone find the right present for a friend, does that make the gift less personal, or does it show the giver made an effort to find something suitable?
Why AI gift shopping can feel like an awkward confession
Finding a present is a peculiar form of shopping because the recipient is judging more than the object. A mug, jumper or concert ticket may be appreciated for its usefulness, but it can also signal that the giver remembers a favourite colour, an interest or a shared conversation. That is why people sometimes spend longer searching for a thoughtful gift than they would for an equally expensive purchase for themselves. AI can help with the search, yet it cannot have the memories that give a relationship its meaning.
Imagine a buyer asking a chatbot for ideas for someone who enjoys gardening, dislikes clutter and has recently moved house. The system might produce a sensible set of options and suggest questions that narrow the search. There is nothing inherently deceptive about consulting it. People have long asked friends, searched websites and read reviews before buying presents. The difference is that a conversational tool can appear to do the creative thinking itself. Saying ‘I used AI’ may therefore sound, to some ears, like admitting that less care went into the gift.
But that conclusion is not automatic. A rushed purchase made without help may show less attention than a carefully evaluated suggestion from a tool. The final judgement is still human: deciding what the recipient would actually enjoy, checking whether the quality is good and recognising when an attractive idea would be inappropriate. The AI’s role may be closer to a capable research assistant than to a substitute for affection.
The survey finds enthusiasm for AI research, not unlimited trust
Visa’s poll, conducted online by Morning Consult between 26 September and 2 October 2026, covered 1,016 US adults and was weighted to approximate the adult population. Visa reported a margin of error of three percentage points. In that sample, 54% said they had already used AI for at least one shopping task, compared with 47% in the company’s previous year’s measure. The study also found strong stated comfort with comparing prices, checking stock, finding discounts and getting gift suggestions.
There is a crucial gap between discovering an item and allowing software to spend money. Visa reported that only 23% trusted generative AI to handle payment transactions for them, drawing on its separate Trust Index. Those figures come from different measures and should not be treated as a direct step-by-step conversion funnel. Still, they point towards a familiar consumer instinct: ideas can be weighed and rejected, while an order creates an obligation and may be difficult to reverse.
A separate Morning Consult holiday retail report gives useful context rather than an identical measurement. It reported that just over half of US adults had used an AI assistant for product searches, comparisons or purchases, while willingness to let AI buy automatically was considerably lower. The surveys differ in questions and samples, so their percentages should not be merged. What they share is a portrait of curious but cautious consumers.
LiveAIWire has previously covered why people appreciate AI shopping recommendations but still value human reviews. A gift makes this tension more personal. A shopper may be delighted to receive fresh ideas while wanting an independent opinion on durability, sizing or authenticity. The recommendation starts a decision; it does not settle it.
Why younger shoppers may be less embarrassed about asking a machine
Visa’s findings also suggest a generational divide in openness to AI shopping. It reported that more than eight in ten surveyed Gen Z consumers were willing to use AI assistance for holiday shopping, with 73% comfortable receiving gift suggestions. Such figures are self-reported intentions, not proof that young people will use these services in every purchase. They do indicate that consulting a machine for ideas is becoming a familiar option for some shoppers.
For someone who has grown up asking a phone for directions, music or answers, another automated recommendation may feel ordinary. Older consumers can be equally willing to use it, but they may frame the task differently: as seeking help rather than delegating a decision. Neither approach guarantees a better gift. An AI search can overlook local shops and unusual handmade items, or repeatedly suggest mainstream products because these dominate the data and descriptions it can access.
The quality of a suggestion therefore matters more than the novelty of the tool. Does it respect the budget? Does it account for allergies, accessibility, shipping dates and personal taste? Can it explain why an item appears in the shortlist? A persuasive answer is not evidence that a retailer is reputable. Someone buying an expensive gift still needs to verify the seller, product details and terms independently.
A good idea is not always a good purchase
Gift-buying can be an ideal task for a conversational assistant because people often begin with a vague intention rather than a model number. A buyer may not know whether to choose an experience, a useful item or something sentimental. AI can help organise those choices, create a checklist or prompt the buyer to remember previous conversations. It may also introduce errors: recommending an item that is unavailable, misreading compatibility or confidently claiming a product has a feature it lacks.
Price comparison carries its own complications. A low advertised price may exclude delivery or refer to the wrong version. A product with excellent reviews may still be a poor fit for a particular person. LiveAIWire’s reporting on the trust gap at AI shopping checkout illustrates why buyers often welcome help finding products while keeping payment decisions under their own control. That is a sensible boundary for presents as well as everyday purchases.
Privacy is another consideration. Describing someone’s hobbies is usually less sensitive than pasting a private message, medical information or personal address into a shopping tool. Consumers can give an assistant enough detail to make useful suggestions without sharing information that belongs to somebody else. A friend may appreciate a well-chosen present but feel differently about having their private circumstances analysed by an online service.
There is also room for ordinary generosity outside the algorithmic shopping process. A local maker, charity shop or independent bookshop may offer an item that fits the recipient better than whatever appears in a convenient online shortlist. AI can help a shopper formulate a good question, but it cannot guarantee that its suggestions represent everything available. Sometimes the most thoughtful decision is to use the technology to clarify an idea and then step away from the screen to find it.
The real gift is the judgement applied to the suggestion
A useful rule is to treat AI as a source of options, not as a witness to a relationship. Ask for several ideas within a budget, scrutinise the reasons, check the facts with a trusted seller and then choose with the recipient in mind. If the suggestion is generic, improve the question or walk away. The most important information may be something the computer cannot know: an inside joke, a long-standing wish or a reason the obvious choice would be unwelcome.
Nor is there a universal etiquette rule requiring the giver to disclose every tool used during shopping. People rarely list the websites, magazines and conversations that shaped their decisions. There may nevertheless be occasions when disclosure makes sense, particularly if a recipient is uncomfortable with AI involvement or if the gift itself includes something generated from private material. Thoughtfulness involves considering how a person might feel, not following an arbitrary technological rule.
An earlier LiveAIWire article noted how widely American shoppers were already using AI for retail decisions. Visa’s newer finding adds a social twist. The technology can be widely used while remaining a little embarrassing to acknowledge. That may change as it becomes routine, or it may persist because gifts occupy an emotional category that ordinary transactions do not.
In the end, the survey is less a verdict on dishonesty than a reminder that giving a present is a form of communication. A machine can supply a list of possibilities. It cannot decide what a relationship calls for. The interesting question is not whether a giver has touched an AI tool, but whether they have made a genuine choice after using it.
About the Author
Stuart Kerr is Technology Correspondent at LiveAIWire, covering artificial intelligence, cybersecurity and the social impact of emerging technology. LiveAIWire is an independent, human-led technology publication using AI-assisted research, editorial production and original AI-assisted editorial illustrations under his direction.