The AI Trust Gap in Consumer Experience Is Costing Brands Sales

Brands believe consumers are ready to let AI take the wheel. Consumers disagree, and the gap between those two beliefs now has a number attached to it. The AI trust gap in consumer experience describes the widening disconnect between how fast companies are automating decisions on behalf of shoppers and how comfortable those shoppers actually are handing over control.

New research from Acxiom puts the divide in stark terms: 86% of brands believe consumers will accept AI making choices for them, while only half of consumers agree . That 36-point gap is not a rounding error. It is the single biggest risk facing marketing leaders heading into the 2026 holiday season, when agentic commerce, AI agents that search, compare, and buy on a shopper's behalf, is no longer theoretical.

Consumer appetite for AI-assisted shopping is real and growing fast. Two-thirds of U.S. consumers, 67%, plan to use AI for holiday shopping this year, according to new consumer research released by Forter, the Trust Intelligence platform for the future of commerce . But that same research shows adoption stops cold at the point of payment, where control, accountability, and trust matter most.

This is the tension Matt Britton has built his speaking career around. As one of the most sought-after AI keynote speakers for Fortune 500 companies, Matt Britton has spent the last two years translating fast-moving consumer AI data into boardroom strategy. His book, Generation AI, argues that the brands who win this decade will not be the ones who automate fastest, but the ones who automate with permission. Through his Suzy consumer intelligence platform and his Speed of Culture podcast, Britton tracks exactly this kind of gap in real time, and the 2026 holiday season is shaping up to be his thesis in action.

What follows is a breakdown of what the newest data says, why the gap exists, and what Fortune 500 marketing and CX leaders need to do before competitors either over-automate and lose customers, or under-automate and lose share.

What Is the AI Trust Gap in Consumer Experience?

The AI trust gap in consumer experience refers to the measurable distance between a brand's willingness to let AI make decisions for a customer and that customer's actual comfort level with it. It shows up most clearly in Acxiom's newest CX research, which surveyed thousands of consumers and hundreds of brand leaders across the U.S. and UK to compare attitudes side by side.

Acxiom's report, titled "From Influence to Action," is based on 4,000 consumer interviews and 700 brand interviews across the U.S. and UK, and examines how artificial intelligence is evolving from an advisory tool into an autonomous decision-maker in customer experience . The framing matters. For years, AI in customer experience meant recommendation engines and chatbots that suggested options. Now it means systems that act, completing purchases, rebooking flights, and managing subscriptions without a human clicking confirm.

Sean Muzzy, President of Acxiom, put the stakes plainly: "Our research shows that trust, not just a better overall experience, will determine which brands thrive as AI takes on a more autonomous role." That single sentence reframes the entire AI customer experience conversation for 2026. Speed and convenience no longer win by default. Trust does.

Earlier editions of the same research series found the roots of this gap. 93% of brands and 70% of consumers believe AI is moving faster than they're ready for it , a rare point of agreement that should alarm, not comfort, executives rushing to automate. And while 83% of consumers are open to brands using AI to influence their decisions, a firm 65% state that if AI decides for them, it stops being their experience . That distinction, between AI as advisor and AI as decision-maker, is where the gap lives.

Agentic Commerce Trust Is the Defining Holiday Issue of 2026

Holiday shopping has become the proving ground for agentic commerce trust. Multiple independent studies released within weeks of each other all point to the same pattern: adoption is surging, but it is shallow, and it stops at checkout.

Forter's research shows the generational split driving this surge. Among 18- to 34-year-olds, 83% plan to use AI for holiday shopping this year, compared with 40% of Americans 65 and older, and 68% have already discovered or purchased from a new retailer because of an AI recommendation, compared with just 13% of Americans 65+ . Younger consumers are not just trying AI shopping tools. They are letting AI reshape which brands they even consider.

Yet comfort with full autonomy remains conditional. 78% of holiday shoppers say they're comfortable letting AI handle at least one part of their holiday shopping journey, and 53% would be comfortable letting AI purchase a holiday gift autonomously, depending on the purchase amount . That qualifier, depending on the purchase amount, is the entire story. Consumers are not rejecting agentic commerce. They are rationing it.

Forter's chief merchant, Jen Howard, summarized the moment: "Many shoppers are ready to hand AI the keys, but not without guardrails. They want final approval, spending limits, and a guarantee they'll be made whole if something goes wrong." Shoppers surveyed were specific about what would move them toward autonomy, including:

• Requiring final approval before purchase
• Setting spending limits
• Guaranteeing a refund if AI buys the wrong item or completes a fraudulent transaction
• Controlling what personal data AI can access

This is not resistance to AI shopping trends. It is a request for a seatbelt before the car accelerates.

Why Half of Consumers Still Want a Human Hand at Checkout

Checkout is where the brand consumer AI confidence gap becomes a payment problem, not just a preference problem. Separate research from Wildfire Systems, a loyalty and consumer insights platform, found that AI adoption for discovery has far outpaced trust at the transaction layer.

71% of U.S. consumers now use AI chatbots, up from 22% two years ago , a near-tripling that shows how normalized AI assistance has become for research and comparison. But that comfort evaporates at the point of payment. Only 5% would trust an AI platform itself to process an agent's payment, while 41% would trust none of the payment options tested .

Mastercard's Signals research tells the same story from a different angle. 85% of consumers are open to working with an AI agent to find the best option, while only one in 10 are willing to let an agent complete a purchase autonomously . Discovery and decision-making are no longer the bottleneck. Payment authority is.

The spending-amount pattern confirms it. 29% are "very comfortable" letting an agent make a purchase under $20, falling to just 6% for purchases of $500 or more . Consumers are willing to extend trust incrementally, starting with low-stakes purchases, but Fortune 500 brands selling considered purchases, financial products, or big-ticket items cannot assume that trust transfers automatically from a $15 item to a $1,500 one.

This is exactly the kind of nuance Matt Britton walks executive teams through during his AI keynote presentations, where he breaks down how trust thresholds differ by category, by generation, and by price point, information that generic AI hype cycles routinely flatten into a single adoption number.

The Business Risk of Over-Automating Customer Experience

The danger for Fortune 500 marketing leaders is not that AI adoption is slowing down. It is that brand investment priorities and consumer priorities are pointed in opposite directions, and few executives have noticed.

Acxiom's research found a sharp mismatch in what each side values most. When AI guides decisions, consumers' top priority is the ability to retain control. For brands, control is the lowest priority, with transparency being their primary focus . Brands are optimizing for the wrong variable entirely, building explanations when customers are asking for an override button.

The same disconnect shows up around emotional intelligence. 61% of brands say empathetic interactions will transform their sector in 2026, with 81% believing emotionally intelligent AI will "win the moments that matter." Consumers are far less convinced. Only 27% are comfortable with AI using their typed or spoken words to respond to how they feel, and 38% do not want AI reading their emotions at all .

Taken together, these findings describe a predictable business risk: brands that automate the highest-stakes moments, emotional support, final purchase authority, payment processing, before earning explicit permission will trigger exactly the backlash the data warns about. The brands that automate low-stakes, high-friction moments first, while keeping humans and clear override options on high-stakes decisions, will build the trust needed to expand autonomy later. This is the core argument Matt Britton makes across industries, including in his work with financial services clients and real estate brands, where transaction size makes the trust gap even more expensive to ignore.

How Fortune 500 Leaders Can Close the AI Confidence Gap Before Competitors Do

The window to earn permission is narrow, but it is still open. Brands that treat 2026 as the year to build AI trust deliberately, rather than deploy autonomy aggressively, will capture the loyalty of both AI-native younger shoppers and hesitant older ones.

Four moves separate the brands winning this transition from the ones triggering backlash:

• Segment autonomy by stakes, not by technology readiness. Let AI complete low-dollar, low-risk purchases automatically while requiring explicit approval above a defined threshold, mirroring the comfort curve consumers themselves describe.
• Build visible override controls into every AI-curated touchpoint. Since control, not transparency, is the top consumer priority, a simple "undo" or "ask me first" toggle will outperform lengthy AI disclosure language.
• Guarantee the downside before expanding the upside. Refund guarantees and fraud protection for AI-initiated purchases directly address the guardrails consumers are already asking for.
• Test generational thresholds before scaling broadly. A strategy built for Gen Z's 83% adoption rate will alienate the 40% of older shoppers who are still warming up, a dynamic Britton explores in depth through his Gen Z-focused keynote work.

Brands serious about closing this gap should treat it as a board-level data problem, not a marketing experiment. That is the work Matt Britton does through his speaker platform, pairing live consumer sentiment data with practical frameworks executive teams can act on before the next earnings call, not after.

Key Takeaways for Business Leaders

• Audit every AI-automated decision point against actual consumer comfort data, not assumed adoption rates.
• Prioritize control and override features over transparency messaging when designing autonomous AI experiences.
• Segment autonomous commerce permissions by purchase value, starting low and expanding as trust builds.
• Guarantee refunds and fraud protection for AI-initiated transactions before scaling agentic checkout.
• Benchmark generational adoption gaps before rolling out a single AI experience across all customer segments.

Frequently Asked Questions

What is the AI trust gap in consumer experience?

The AI trust gap in consumer experience is the measurable difference between how much autonomy brands are giving AI systems and how much control consumers actually want to retain. New research shows 86% of brands believe consumers will accept AI making choices for them, while only half of consumers agree , creating a significant risk for brands that automate faster than customers are ready to accept.

Why do consumers hesitate to let AI complete purchases automatically?

Consumers are comfortable using AI for research and comparison but hesitate at payment because of control and accountability concerns. Only 5% would trust an AI platform itself to process an agent's payment, while 41% would trust none of the payment options tested , showing the trust gap is concentrated specifically at checkout rather than across the shopping journey.

How is agentic commerce changing holiday shopping in 2026?

Agentic commerce is reshaping discovery and decision-making this holiday season, with two-thirds of U.S. consumers, 67%, planning to use AI for holiday shopping this year . However, autonomy remains conditional, with comfort levels dropping sharply as purchase size increases, meaning brands must build guardrails before pushing full autonomous checkout.

How can brands close the AI confidence gap with customers?

Brands can close the gap by prioritizing consumer control over technical sophistication, since consumers rank control as their top priority when AI guides decisions, while brands currently rank control lowest, favoring transparency instead . Visible override options, spending limits, and refund guarantees address the specific concerns consumers raise most often.

The brands that win the next phase of customer experience will not be the ones that deploy AI fastest. They will be the ones that earn permission first, segment by stakes, and protect the moments where a human hand still matters most to the customer. Matt Britton has spent his career turning exactly this kind of consumer data into action for Fortune 500 marketing teams, and the 2026 holiday season is the clearest test yet of which brands were actually listening.

Leaders who want a data-driven, no-hype briefing on where AI customer experience is heading next can explore Matt Britton's AI keynote speaker programs or book him directly through Speaker HQ. The trust gap will not close on its own. It closes when brands design for it.