New research shows AI shopping is no longer a fringe habit in the UK, with millions ready to let agents find, choose, and even pay for their Black Friday deals.
📌 Key Takeaways
- 49% of UK adults already use AI tools regularly, and 22% plan AI-assisted festive shopping.
- Among 18–34s, 42% expect to use AI for Black Friday and Christmas purchases.
- 85% of AI holiday shoppers would trust an agent to place orders and pay for them.
- Analysts see agentic shopping tools influencing up to $1 trillion in US online spend by 2030.
- A sharp “AI confidence divide” is emerging between young, urban adopters and older, offline traditionalists.
UK Shoppers Are Bringing AI Into Their Holiday Carts
The new survey for payments consultancy PSE Consulting finds that 49% of UK adults already use AI tools on a regular basis. Almost one in four (22%) plan to rely on AI for Black Friday and Christmas shopping this year.
Adoption is even higher among younger, wealthier, city-based consumers. In the 18–34 bracket, 42% say they expect to use AI to help with festive purchases, showing how quickly assistants have moved from novelty to default helper.
“What’s remarkable is how quickly AI has moved from novelty to an integral part of shopping.” — Chris Jones, Managing Director, PSE Consulting
The survey, run by OnePoll on 2,000 UK online shoppers, underlines how embedded AI has become after barely two years of mainstream availability. For many, the starting point for deals is no longer a search bar, but a chat window.
Agentic Commerce Is Moving From Advice To Full Checkout
The most striking finding is not just usage, but trust. Among those planning to use AI for Christmas shopping, 85% say they would trust these tools to place orders and execute payments on their behalf.
That signals a shift from AI as a recommendation layer to AI as a transactional agent, connecting product discovery straight into payment flows. In other words, shoppers are increasingly comfortable letting software press the “buy” button for them.
Analysts cited in the research estimate that automated agentic shopping tools could influence up to $1 trillion in US online spending by 2030, with a global impact running into several trillion dollars.
The report links this trend to recent launches such as OpenAI’s Agentic Commerce Protocol with Stripe, designed to let AI agents browse catalogues, compare options, and complete purchases across many merchants. The service is expected to reach Europe within 6–9 months, once Strong Customer Authentication issues are resolved.
The New AI Shopping Confidence Divide
The same study highlights an emerging “AI shopping confidence divide.” Early adopters tend to be 18–34, more affluent and urban, using AI daily or several times a week, and almost twice as likely as the general population to plan AI-assisted festive shopping.
At the other end of the spectrum, “UK traditionalists” are typically 55+ with lower digital exposure. More than half never use AI tools at all, and 80% say they will not rely on AI for holiday shopping this year.
“The emerging ‘AI confidence divide’ is quietly reshaping shopping behaviour. Early adopters are already turning to AI daily to hunt for deals and select gifts, while more traditional shoppers are taking a wait-and-see approach.” — Chris Jones, Managing Director, PSE Consulting
For retailers and payment providers, that means designing experiences that suit both groups at once, without assuming everyone wants a fully autonomous agent in charge of their basket.
Trust, Fraud And Infrastructure Are Still Big Friction Points
Despite rising usage, caution is high. The survey finds 49% of shoppers are worried about how data is handled, 46% are concerned about fraud, and 41% fear AI might simply pick the wrong item. Only 9% report no concerns at all.
Those worries hit existing payment rails directly. Systems built for human-paced checkouts now have to cope with large numbers of agent-initiated transactions that could be triggered in bursts and across many merchants at once.
“AI is now becoming an active participant in the payment process. Systems designed for human-paced transactions are now under pressure to support high-frequency, autonomous agent-initiated flows.
This has major implications for fintechs, merchants, and payment processors, especially around real-time authorisations, fraud detection, and liability management.” — Chris Jones, Managing Director, PSE Consulting
The consultancy argues that real-time authorisation, smarter fraud controls, and clear liability rules will decide how far consumers allow agents to go. If something goes wrong, shoppers still expect the same protections they enjoy with card payments today.
What Retailers And Fintechs Should Do Next
For brands, marketplaces and banks, the message is twofold. First, AI shopping is already mainstream among high value segments, so ignoring agentic commerce means missing the most active digital spenders. Second, trust must be earned through design, not slogans.
Practical steps include transparent AI labelling, clear permission flows before any autonomous purchase, and easy override options for delivery addresses, price caps and preferred merchants. These controls help reassure both younger enthusiasts and older sceptics.
The research also hints that retailers should think beyond a single app. As AI agents sit between consumers and stores, product data, availability, pricing and returns policies all need to be machine readable so assistants can compare and act reliably on a shopper’s behalf.
Conclusion
This year’s Black Friday looks like a turning point for agentic commerce. Many UK shoppers are no longer just asking AI what to buy, they are ready to let it click “pay now” for them, especially in younger, urban segments.
Yet the same research shows that widespread trust will depend on how payments infrastructure, fraud controls and user experience catch up. If consumers feel protected and in control, AI agents could soon handle a meaningful share of everyday shopping. If not, the confidence divide will widen, and the promise of AI powered retail will remain concentrated in a tech savvy minority.
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