UK Consumers Embrace AI Shopping Ahead of Black Friday, But Trust Gaps Remain

Spending habits are shifting as artificial intelligence moves into the checkout aisle. Research from payments consultancy PSE Consulting indicates that AI-assisted purchasing is poised to hit a tipping point during Black Friday on November 28, transforming what was once a niche experiment into everyday practice for UK shoppers.

The transition carries profound implications for the entire payments ecosystem. "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," according to Chris Jones, Managing Director at PSE Consulting.

Current adoption rates underscore the momentum. Among UK adults surveyed, 49% already engage with AI tools on a regular basis for information, recommendations, or automating tasks. Looking specifically at the holiday season, 22% intend to harness these capabilities for their Black Friday and Christmas purchases. The trend skews heavily toward younger demographics: 42% of those aged 18 to 34 plan to incorporate AI into festive shopping, with uptake concentrated among urban and higher-income populations.

What started as basic product recommendation features is rapidly maturing into comprehensive transaction handling. Among consumers planning to use AI for shopping this season, 85% express willingness to permit the technology to autonomously place orders and process payments. This comfort level represents a watershed moment in consumer behaviour, indicating growing acceptance of end-to-end automated purchasing.

Agentic AI poised to transform retail

Industry observers anticipate that agentic AI could fundamentally reshape commerce globally by decade's end. Autonomous systems capable of searching inventory, evaluating options, and executing purchases without human intervention could command staggering transaction volumes. Projections suggest that in the United States alone, such technology could direct as much as $1 trillion in annual online spending by 2030, with worldwide figures reaching several trillion dollars.

This trajectory implies a wholesale reimagining of commercial interaction. Rather than consumers actively searching and selecting products, AI agents operating invisibly in the background could continuously monitor pricing, maintain preference profiles, and capture opportunities in real time. Such a transformation would necessitate fundamental changes in how retailers construct customer experiences, how financial networks process payments, and how consumers interact with commercial brands.

PSE Consulting initiated this research partly to address this acceleration and to highlight the urgency of financial infrastructure modernisation. Contemporary payment systems were engineered for manual, consumer-controlled transactions rather than rapid, machine-initiated decision cycles. As AI agents gain transactional autonomy, payment networks will face mounting demands around handling new authorisation patterns, managing fraud detection, and clarifying liability responsibilities.

OpenAI and Stripe partnership

The research emerges months after OpenAI and Stripe unveiled the Agentic Commerce Protocol, designed to facilitate seamless AI-driven purchases. European rollout faces a six to nine month delay attributable to Strong Customer Authentication (SCA) requirements, yet the study demonstrates substantial consumer appetite in the UK market.

Should European adoption mirror early US trial results, retailers and payment operators across the region may encounter a demanding adjustment period. Widespread AI commerce could demand new regulatory frameworks, strengthened fraud protections, and novel consent mechanisms balancing security with operational efficiency. The UK's developed fintech sector may facilitate faster adaptation, though the transition will remain demanding.

Trust barriers remain

Momentum exists, yet the research reveals persistent consumer hesitation regarding agentic AI. Data privacy concerns dominate, with 49% anxious about information storage, usage, and disclosure practices. Unauthorised transaction risk ranks nearly as high at 46%, reflecting unease about potential misuse. A further 41% worry that AI might select inappropriate items, pointing to accuracy, customisation, and control issues.

Only 9% report having no reservations whatsoever. This pattern indicates that despite accelerating adoption, confidence remains incomplete. For AI shopping to achieve genuine mainstream status, technology providers must establish robust safeguards, intuitive control mechanisms, and clear operational transparency. Retailers and financial services firms may need to reimagine customer communications to clarify when AI systems are acting, how transactions receive verification, and what remedies exist when problems arise.

An emerging divide

PSE Consulting's analysis identifies a widening "AI shopping confidence divide" across the UK population. Early adopters—predominantly aged 18 to 34, digitally comfortable, and financially secure—deploy AI tools daily or multiple times weekly. This segment proves nearly twice as inclined as the broader population to depend on AI for holiday purchases. Even among these enthusiasts, apprehension persists regarding return procedures, order accuracy, or automated checkout processes initiated by machines rather than customers.

Conversely, conventional consumers aged 55 and beyond demonstrate markedly different patterns. More than half in this cohort never engage with AI tools, and 80% rule out using them for Black Friday or Christmas shopping. This generational gap reflects divergent attitudes toward reliability, comfort with technology, and perceived practical value.

These differences carry significant consequences for commercial operators, who must simultaneously accommodate AI-driven purchasing pathways and conventional shopping experiences. Retailers will likely need to serve both segments: early adopters seeking velocity and convenience, alongside sceptical customers demanding transparency and personal agency.