B2C Buyer Experience · 2026 · UK · Insurance

The Insurance Buyer Experience Report 2026

How AI is being embraced by insurance consumers and what brands need to do to meet their expectations.

Respondents146 UK insurance consumers
Field Period8–22 May 2026
VerticalInsurance
Published ByInvoca
Introduction

After a year of rapid AI rollouts and innovation, insurance consumers are taking notice

A year ago, integrating AI into the insurance buying journey was still a debate among brands. They were rushing to deploy it, while consumers were openly resistant, and marketing and CX leadership anxiously analysed whether the risk was worth it.

A year later, the debate has quieted, in part because the AI got better. It’s faster, more polished, and more useful. So good, in fact, that 73% of UK insurance 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 the insurance buying experience worse has fallen year-over-year, from 26% to 24%.

The insurance brands that deployed AI effectively over the last year have been rewarded by consumers grateful for rapid, reliable service. In many cases, it’s so good that consumers just don’t care whether it was AI helping them or not. But when AI interactions go wrong, keep in mind that insurance consumers are quick to blame the brand that chose to deploy it, not the vendor who built it for them, by a margin of more than 3 to 1.

This changes the calculus of AI investment for insurance marketing and CX leaders. AI has cemented its importance in the buying journey, but a new question—and risk—has emerged: is your AI good enough to protect your brand and hand off to a human when it can’t?

Read on for what insurance consumers told us, what’s changed since 2025, how insurance buyers differ from consumers in other categories, and where the data points your CX investments next.

In summary

At a glance

77%
of UK insurance consumers will switch to a competitor that responds faster
24%
say AI made the insurance buying experience worse — 2 points lower than 2025
3.0×
more UK insurance consumers blame the brand than the AI when AI fails
01

Most insurance consumers have encountered a brand’s AI, and most don’t mind anymore

The negative sentiment that defined the 2025 conversation about brand AI has softened across most measures for insurance buyers. The share who said AI made their insurance buying experience worse has dropped from 26% in 2025 to 24% in 2026.

And yet, the share who say AI made their experience meaningfully better has held roughly flat at 35%. The bulk of the movement is from “worse” to “neutral.” AI is no longer making a bad impression among insurance buyers—it’s making no impression at all. For consumer-facing technology like this, going unnoticed is a reasonable goal.

How brand AI affected the insurance buying experience
Q23 · UK insurance consumers, 2025 vs 2026

Insurance vs other categories: 35% of insurance buyers say AI improved their experience, lower than the UK cross-industry average of 42%. There is more ground to make up here than in most other categories.

Insurance buyers
35%
UK cross-industry avg
42%

If a lot of menial information can be passed through AI it would make no difference. But for a high stakes purchase, I expect some sort of human interaction.

Gen Z, multiple categories purchase

02

Many insurance consumers can’t tell when they’re talking to AI

Have you ever realised after the fact you were talking to AI?
Q33 · UK insurance consumers

One of the most striking findings in the 2026 insurance data is also the simplest. When we asked UK insurance consumers whether they had ever realised, after the fact, that an interaction they thought was with a human was actually with AI, only 27% said yes. The other 73% either said they have never had that realisation or weren’t sure.

This indicates 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 insurance consumers can’t reliably distinguish it from a human agent. That’s a win for the technology and for the brands that deployed it carefully.

03

When AI fails, brands take the blame by a wide margin

We asked insurance consumers who they primarily blame when an AI interaction with a brand goes badly. 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 73% of UK insurance consumers will tie a bad AI experience back to the company that chose to deploy it. The vendor takes none of the heat.

Customer service humans are robotic enough and can only follow a script. Bots I have used always end with me requesting a human.

Gen X, automotive / insurance purchase

Who do you blame when AI fails?
Q41 · UK insurance consumers
04

Consumers want AI to introduce itself

How important is it that a brand’s AI clearly identifies itself as AI?
Q32 · UK insurance consumers

UK insurance consumers have definitely made up their minds about whether AI should identify itself in customer interactions. 90% say it matters that a brand’s AI clearly identifies itself, and 60% say it matters a great deal. 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.

05

“Forced” feelings are easing, but the volume hasn’t dropped

49% of UK insurance consumers say they feel forced to interact with a brand’s AI most or all of the time, with the vast majority encountering it at least occasionally.

The risk for brands is complacency. Consumers are fickle, and over 52% of insurance consumers still feel that brands using AI to assist them value them less. It’s a reminder that improvement must be continuous to keep your customers satisfied.

Feel forced to interact with brand AI
Q24 · UK insurance consumers
06

Consumers prefer AI for simplicity and speed

We asked UK insurance consumers when they actually prefer AI to a human, and the answers are consistent with the broader market — simplicity and speed win.

When consumers actually prefer AI to a human
Q37 · UK insurance consumers (multi-select, totals exceed 100%)
What is AI worst at?
Q40 · UK insurance consumers (multi-select, totals exceed 100%)

The “avoiding waiting on hold” finding is the one that should move insurance investment decisions. Roughly a third of UK insurance 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.

[AI] gives the best of both worlds. Provides quick and efficient service.

Gen Z, insurance / travel purchase

07

Speed is the conversion battleground

If there’s a single piece of data in this report that should change an insurance marketing budget, it’s the gap between what consumers expect and what they actually get in response speed after filling out a lead form.

There is a 16-point gap between expectation and delivery, and a near-universal willingness to walk if a faster option appears.

The cost of a slow response is a lost conversion.

Response expectation vs delivery within one hour
Q1 expected · Q3-a actually received · Q7 will switch
What do consumers do if the response is too slow?
Q5 · UK insurance consumers
08

Consumers still prefer to call when they need help

For all the talk of digital-first buying journeys, UK insurance consumers still pick up the phone when they need help with a high-stakes purchase. 40% prefer calling when they have a problem and need help — more than any other channel.

I prefer talking to a real person who can understand what I want.

Boomer, insurance purchase

Preferred channel when consumers have a problem and need help
Q15 · UK insurance consumers
09

Consumers mostly call for more information

Why do consumers call businesses during a purchase?
Q13 · UK insurance consumers (multi-select, totals exceed 100%)

When UK insurance consumers call a business during a high-stakes insurance 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, 29% 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 the online information gap is one of the highest-leverage CX investments an insurance brand can make.

10

Generative AI use when researching purchases is growing rapidly

We asked consumers whether they had used a generative AI tool, like ChatGPT, Gemini, or Claude, to help research a high-stakes purchase. Usage climbed 5 points since 2025.

A year ago, generative AI was something younger consumers experimented with. This year, it’s a default research step for most adults.

49%
of insurance consumers used generative AI to research their purchase, up from 44% in 2025. A 5-point jump.
Used generative AI to research a high-stakes purchase
Q49 · UK insurance consumers, 2025 vs 2026
Top use cases for generative AI in the buying journey
Q49 · UK insurance gen AI users (multi-select)
11

The Boomer story: slower to adopt, firmly human at the close

The Boomer story in insurance is more restrained than the headline market narrative. Just 21% of insurance Boomers have used generative AI to research a high-stakes purchase — a smaller foothold than younger generations, and a reminder that the holdouts in this category haven’t fully come around yet.

Used generative AI to research a high-stakes purchase, by generation
Q49 · UK insurance consumers, 2026
Prefer a human representative when both options are equally available, by generation
Q35 · UK insurance consumers

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. Even so, 79% of insurance Boomers still prefer a human representative when both options are equally available. The implication for insurance brands targeting older consumers: AI matters at the discovery stage, humans matter at the close.

12

Human connection still wins where it counts

For all the AI advances, UK insurance consumers haven’t changed their minds about what they want at the moment of a high-stakes insurance purchase decision. 59% prefer human help to AI when both are equally available, and 88% say human connection during a high-stakes insurance purchase is important or very important — up from the 83% recorded in 2025.

How important is human connection during a high-stakes purchase?
Q47 · UK insurance consumers
When both options are equally available, who would you prefer?
Q35 · UK insurance consumers

AI is welcome in the insurance buyer journey, especially upstream, but the human stays in the loop when the customer is ready to commit.

It’s just more emotional speaking to a real person. AI responses are always too generic.

Millennial, multiple categories purchase

13

Consumers are more tolerant of bad experiences, but they’re hanging up faster

These two data points look contradictory at first, but they tell a connected story on a second look.

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.

They’ve become substantially more forgiving year-over-year, with a 32-point drop in the share who say they’d stop doing business after a single bad experience.

But if you don’t answer their call quickly, you’ll never get a chance to make that first impression.

Hung up after being placed on hold for too long
Q18 · UK insurance consumers, 2025 vs 2026
Likely to stop doing business after one bad experience
Q20 · UK insurance consumers, 2025 vs 2026
14

AI voice agents have arrived, and consumers are open to them

This year, for the first time, we asked UK insurance consumers whether they had spoken to an AI voice agent on the phone during a recent insurance purchase journey. 38% have either definitely or possibly done so — a meaningful level of adoption for a technology that barely existed twelve months ago.

Have you spoken to an AI voice agent in the last 12 months?
Q31 · UK insurance consumers
AI voice exposure: insurance vs the UK average

That’s lower than the UK cross-industry average of 46%, suggesting insurance brands have been less aggressive than peers in deploying voice AI — an opening for brands willing to move first.

Insurance
38%
All UK verticals (avg)
46%
What this means for your CX investment

AI has found its place in the buying journey, but it can’t replace the human touch

The 2026 data shows that we’re at an inflection point. Consumers demand fast service when making important purchase decisions, and they’re more open than ever to getting it from AI. As always, they also want to choose how and when to engage with your brand.

What it boils down to is properly balancing fast AI automation and empathetic human connections. One does not replace the other. AI must be deployed well enough that consumers hardly notice it, human help must be available whenever they need it, and every touchpoint has to be connected from clicks to AI chats to calls and conversions to make the journey seamless. The more effectively you can connect with your buyers at every moment, the more likely you are to convert them.

Discover Invoca’s AI →
About the survey

Methodology

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 respondents who made a high-stakes insurance purchase in the last 12 months are included in this report (146 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. Respondents who made more than one qualifying purchase may appear in more than one vertical report. Cross-category comparisons are made against the UK cross-industry average across all seven verticals. Year-over-year comparisons reference the 2025 Insurance Buyer Experience Report; the 2025 reports published generational data on an all-respondent basis, so generational trends here are computed fresh from the 2026 insurance sample and, where cells are small, should be read as directional. Results may not total 100% due to rounding and multi-select question formats. The field survey was performed via the Gather conversational survey platform between 8 and 22 May 2026. Powered by Gather (gatherhq.com).

146
UK insurance respondents
7
industries in the full study
8–22 May
2026 field period