A year ago, integrating AI into the buying journey was still debatable for consumer brands. They were rushing to deploy it and consumers were openly resistant to it, while marketing and CX leadership anxiously analysed whether the risk was worth it.
A year later, the debate has quieted, mostly because the AI got better. It’s faster, more polished, and more useful. So good, in fact, that seven in ten UK consumers can’t reliably tell when they’ve been talking to AI or a person. And the share who say their last AI interaction made things worse has dropped year-over-year.
The brands that deployed AI well in the last year have been rewarded by consumers who are grateful for rapid, reliable service. In many cases, it’s so good that consumers just didn’t care whether it was AI helping them or not. But when AI interactions go wrong, keep in mind that consumers are quick to blame the brand that chose to deploy it, not the vendor who made it for them. By more than three to one.
That’s the headline of the 2026 B2C Buyer Experience Study, and it changes the calculus of AI investment for marketing and CX leaders. AI is no longer a futuristic add-on or a risky experiment. It’s table stakes. The question is no longer whether to use AI in the customer journey. It’s whether your AI is good enough to protect your brand and hand off to a human when it can’t.
Read on for what consumers told us, what’s changed since 2025, and where the data points your CX investments next.
The negative sentiment that defined the 2025 conversation about brand AI has softened across most measures. Fewer UK consumers feel forced to use a brand’s AI, and the share who said AI made their buying experience worse has dropped from 24% to 20%.
And yet, the share who say AI made their experience meaningfully better has held flat at 42%. The bulk of the movement is from “worse” to “neutral.” AI is no longer making a bad impression — it’s making no impression at all. For consumer-facing technology like this, going unnoticed is often the goal.
For brands, the implication is that the bar for AI deployment has shifted. A year ago, the question was how to deploy AI without alienating customers. Now, the question is how to deploy it well enough that customers don’t notice, and how to make sure that when they do, they’re glad it was available.
The average masks dramatic differences across industries. UK Healthcare leads the AI experience, with 66% of consumers saying it made things better and only 9% saying it made things worse. UK Insurance is the laggard, where just 35% say AI made the experience better and 24% say it made things worse. That’s a 22-point spread on positive sentiment between two regulated industries operating in the same market. The brands deploying AI well are creating a meaningfully better customer experience. The brands deploying it poorly are creating a meaningfully worse one.
“My focus is not actually on who I interact with but how quickly and accurately I get a result.”
— Millennial, financial services / telecom / travel purchase
One of the most striking findings in the 2026 data is also the simplest. When we asked UK consumers whether they had ever realised, after the fact, that an interaction they thought was with a human was actually with AI, only 30% said yes. The other 70% either said they have never had that realisation or weren’t sure.
This is an indication that AI technology has crossed a quality threshold. A year ago, brand AI was identifiable by its stiffness, scripts, and a general refusal to deviate from preset paths. Today, voice and text AI is good enough that most UK consumers can’t reliably distinguish it from a human agent. That’s a win for the technology and a win for the brands that deployed it carefully.
“It doesn’t matter. For most issues, AI can sort it, and humans can sort it. For me, it’s irrelevant who sorts my issues as long as they are sorted.”
— Millennial, financial services / travel purchase
We asked consumers when an AI interaction with a brand goes badly, who do you primarily blame? The result is a wake-up call for any CMO or CX leader who treats AI deployment as a vendor decision.
Blame the brand outpaces blame the AI by more than 3 to 1. Add the consumers who hold the brand at least partially accountable, and roughly seven in ten UK consumers will tie a bad AI experience back to the company that chose to deploy it. The vendor takes none of the heat. The customer’s relationship is with the brand, and so is their disappointment when AI lets them down.
“If I’m spending a lot of money or committing long term I would expect a personal touch from a company as this requires relationship and trust. I would feel they didn’t value my custom.”
— Gen X, automotive / insurance purchase
UK consumers have definitely made up their minds about whether AI should identify itself in customer interactions. Over 80% say it matters that a brand’s AI clearly identifies itself. They’re not waiting for regulators to force the issue. They already expect disclosure, so for brands, this is a low-cost, high-trust tactic to deploy now.
“If I believe it to be a human but discover it is AI then very negative, if I know upfront it is AI then positive.”
— Gen X, financial services purchase
A year ago, 59% of UK consumers said they felt forced to interact with a brand’s AI most or all of the time. This year, that figure has dropped to 51%.
The risk for brands is complacency. Consumers are fickle, and over 40% still feel that brands using AI to assist them value them less. This has ticked up from 39% in 2025, a reminder that improvement must be continuous to keep your customers satisfied.
“I have had bad experiences where I have been forced into loops as the AI was following a script where a human operator would have been able to resolve it faster.”
— Millennial, telecom / travel purchase
We asked UK consumers when they actually prefer AI to a human, and the answers are remarkably consistent with last year — simplicity and speed win.
The “avoiding waiting on hold” finding is the one that should move investment decisions. Roughly a third of UK consumers will choose AI specifically to avoid a hold queue, meaning brands without a competent AI frontline are losing good leads at the moment they’re most likely to convert.
These are also the moments in a high-stakes buying journey that determine whether a sale happens. AI handles the easy turns. Humans still close the deal.
“AI for simple questions and human assistance for complex questions.”
— Gen Z, multiple categories
If there’s a single piece of data in this report that should change a marketing budget, it’s the gap between what consumers expect and what they actually get in terms of response speed after filling out a lead form.
That’s a 20-percentage-point gap between expectation and delivery, and a near-universal willingness to walk if a faster option appears.
What do UK consumers do when the response is too slow? 40% try to contact the brand again, but 29% move to a competitor, and another 3% give up on the purchase entirely. 28% wait it out. The cost of a slow response isn’t a delayed conversion. It’s a lost one.
“I usually assume they’re either too busy, disorganized, or not that interested in my business. If it takes too long, I start looking at other options instead of waiting around.”
— Gen Z, travel purchase
For all the talk of digital-first buying journeys, UK consumers still pick up the phone when they need help with a high-stakes purchase, though the margin is tighter than it has been. 36% prefer calling when they have a problem and need help — more than any other channel. Email holds an unusually strong second position in the UK at 20%, well above what we observed in 2025, and a notable cultural divergence in how UK buyers prefer to escalate.
The age pattern strengthens the story. 46% of UK Boomers prefer calling for help, with another 33% preferring in-person assistance — together accounting for 79% of Boomer help preference. Gen X tracks closely behind at 42% calling and 25% in-person. Younger UK consumers split more evenly across channels, with email taking meaningful share at 21% for Gen Z and 22% for Millennials. For UK brands targeting older consumers, phone and the in-person handoff carry the day. For younger UK consumers, calling still leads but email is a meaningful escalation path that has to work as well as voice.
“I would pick human agent interaction over AI during a high-stakes situation because a human can better understand emotions, handle complex issues, and make more thoughtful decisions.”
— Millennial, automotive purchase
When UK consumers call a business during a high-stakes purchase, they’re most often seeking more information. These are expensive, even life-altering purchases, and consumers want to be confident they’re making the right decision.
Disturbingly, 24% called because the information they needed wasn’t available online, a stat that has barely moved in three years despite continued investment in digital experiences.
Closing this online information gap is one of the highest-leverage CX investments a brand can make. Every call driven by a missing fact on a website is a call that didn’t need to happen.
“Not all questions are standard and I think a human would be more flexible and personal.”
— Gen X, healthcare / travel purchase
We asked consumers whether they had used a generative AI tool, like ChatGPT, Gemini, or Claude, to help research a high-stakes purchase. The result is one of the biggest year-over-year shifts in the UK dataset.
The gap between brand AI and generative AI is closing fast on the consumer side. A year ago, generative AI was something younger consumers experimented with. This year, it’s a default research step for most adults.
This is a marketing problem as much as a sales one. Brands need to know what generative AI says about them, because their prospects already do.
The biggest generational shift in this year’s UK data isn’t among the digital natives. It’s among the older holdouts.
UK Gen X moved nearly as much. 39% of UK Gen X consumers used gen AI for research, a notable gain over 2025. Millennials and Gen Z continue to lead in absolute terms at 67% and 65% respectively, but they were already there a year ago. The story of 2026 is the rest of the audience catching up, including older UK consumers who had previously been the slowest to adopt.
UK Boomers haven’t softened on every front. 80% of UK Boomers still prefer a human representative when both options are equally available, the same direction as 2025 but with the same intensity. 87% say human connection is important during a high-stakes purchase.
The picture that emerges is of an older audience that is now using generative AI as a research tool, while still preferring human-led conversations when they’re ready to make the decision. The implication for UK brands targeting older consumers: AI matters at the discovery stage, humans matter at the close.
The human-preference gradient extends across every generation, though. The buying journey may be increasingly AI-mediated upstream, but the moment of decision is still a moment of human contact for the audiences brands depend on most.
“I loathe and detest being forced to use AI. Interaction with a human being is always, every single time, more productive — and more courteous.”
— Boomer, financial services / travel purchase
For all the AI advances, UK consumers haven’t changed their mind about what they want at the moment of a high-stakes purchase decision. 58% prefer human help to AI when both are equally available, and 83% say human connection during a high-stakes purchase is important or very important.
These numbers are essentially flat versus 2025, and the floor hasn’t moved. Across every generation, every industry, and every channel preference cut, UK consumers continue to anchor the moments that matter on human contact. The 2026 data simply adds a layer of nuance: AI is welcome in the journey, especially upstream, but the human stays in the loop when the customer is ready to commit.
“I’m human. Another human would immediately understand and empathise.”
— Gen X, insurance purchase
These two data points look contradictory at first, but tell a connected story on a second look.
UK consumers will not wait. They expect to be heard, and if they’re not, they’ll abandon the call but not necessarily abandon the brand.
The stop-doing-business number is the more nuanced finding. UK consumers became substantially more forgiving year-over-year, a 30-point drop in the share saying they’d stop after one bad experience. They’re willing to put up with one bad experience. They’re not willing to put up with the journey to that experience. The brand that picks up the phone (or offers satisfactory AI assistance) quickly earns the right to make a mistake. The brand that leaves the customer on hold for an hour doesn’t even get the chance.
“I usually feel a bit ignored or think they may not value my enquiry, or feel they are busy. It can also make me lose interest or look for another business.”
— Millennial, automotive purchase
This year, for the first time, we asked UK consumers whether they had spoken to an AI voice agent on the phone during a recent purchase journey. The result confirms what brand-side data has been hinting at for months.
That’s 46% of UK consumers who have either definitely or possibly spoken to an AI voice agent in the last year — meaningful adoption for a technology that barely existed twelve months ago. Among UK consumers who interacted with an AI voice agent, the modal answer when asked how the interaction compared to a human is “about the same,” which is exactly where a new technology should be after 12 months of deployment.
Exposure to AI voice agents in the UK is uneven across industries. UK Healthcare leads at 59% of consumers reporting they spoke to one (definitely or possibly), with Home Services close behind at 58% and Financial Services at 57%. UK Insurance lags at 38%, the only industry below 50%. That’s striking when set alongside the Q23 sentiment data, where UK Insurance also has the worst AI-experience scores. The two findings are consistent: UK Insurance has deployed AI less aggressively than its peers, and where it has deployed AI, consumers report a worse experience.
“I didn’t even realise I was chatting with an AI agent until the end of the conversation — it went really well.”
— Gen Z, insurance / telecom / travel purchase
The 2026 data describes an inflection point. The brands that win the next chapter of the UK buying journey are the ones that treat AI as a brand-equity decision, deploy it well enough that consumers don’t notice in good moments and trust the disclosure in bad ones, and connect every AI touchpoint to a human moment when the buyer is ready to commit.
The phone is still where the decisions get made. The data is still where the optimisation happens. The brand that connects the two, and that does it with AI that respects the consumer, wins.
Learn more at invoca.com →For this report, Invoca surveyed 1,356 consumers in the US and UK who researched and made a high-stakes purchase in the last 12 months across seven industries: automotive, healthcare, home services, insurance, financial services, telecommunications, and travel. Only UK data is used in this version of the report, representing 663 respondents. A high-stakes purchase is one where consumers take time to weigh options, research, and put more thought into the decision because of cost or complexity, generally above £500, or above £1,000 for travel. Results may not total 100% due to rounding and multi-select question formats. The field survey was performed via the Trycycle Gather conversational survey platform between 8 and 22 May 2026.
Results may not total 100% due to rounding and multi-select question formats. Multi-select questions are clearly flagged on each chart. Year-over-year comparisons reflect minor differences in question wording where noted in the body of the report. The “industry” cut is based on the high-stakes purchase the respondent made in the last 12 months and is multi-select, so a single respondent could appear in more than one industry if they purchased across categories. Generational definitions follow the Pew Research Center cutoffs. Powered by Gather (gatherhq.com).