A new nationally representative survey has put hard numbers on a tension that has been building across the digital advertising industry for months: consumers are using AI more than ever, yet their trust in it remains shallow and conditional. Shift Browser today released its 2026 AI Consumer Insights Survey, conducted among 1,448 respondents weighted to be representative by income, ethnicity, age, gender, and region across the United States. The findings land at a moment when the industry is simultaneously betting on autonomous AI systems and reckoning with a deepening gap between platform ambition and user comfort.

According to the survey, 32% of consumers now report using AI on a daily basis. More than half - 53% - say AI improves their online experience. Those are not trivial figures. But set alongside them is a statistic that cuts in the opposite direction: 81% of respondents say they are concerned about AI systems accessing personal data or private conversations. Only 16% say they trust AI answer engines "a great deal."

"AI is moving quickly and so are user expectations for transparency and control," said Michael Foucher, Vice President of Product and Customer Success at Shift. "Consumers clearly see value in AI tools, yet they also want greater clarity and control over how those systems operate."

The gap between daily use and deep trust is not incidental. It points to a market where AI adoption is being driven by utility - research, summarization, task automation - rather than confidence in the systems delivering that utility.

The control imperative

The survey's findings on user control are among its most striking. According to the data, 51% of respondents say the ability to customize or limit AI features is important to them. Meanwhile, 44% worry about AI taking actions without their approval - a figure that has direct implications for the agentic AI systems now being deployed across advertising and marketing platforms.

What is perhaps most telling is that 26% of respondents report difficulty managing or turning off AI features. As AI becomes more deeply embedded in browsers, search interfaces, and productivity tools, the ability to dial back or opt out is apparently not obvious to a significant portion of users. That is a design and communication failure, not merely a preference gap.

Still, consumers are not categorically opposed to autonomous AI. Nearly half - 48% - report comfort with so-called "agentic" AI features when human oversight is present. The qualifier matters enormously. Acceptance, according to the data, depends on perceived visibility and control. When users can see what the system is doing and intervene if needed, discomfort falls sharply.

This dynamic is directly relevant to the wave of agentic AI deployments underway in programmatic advertising. Platforms are moving rapidly toward autonomous campaign execution - systems that monitor performance, diagnose issues, and take corrective actions with minimal human intervention. The Shift survey suggests that the architecture of oversight built into those systems will be a decisive factor in user acceptance, not just technical performance.

Trust is layered, not binary

The survey complicates any simple reading of consumer sentiment. Sixty percent of respondents say they trust AI engines at least somewhat. But 58% also report that AI-generated answers have influenced their opinions at least occasionally. That second figure - the one about influence - is where the tension sharpens.

Influence without transparency is precisely the kind of dynamic that regulators, publishers, and privacy advocates have been flagging for years. Research from Raptive published in July 2025 found that suspected AI-generated content reduces reader trust by nearly 50% and decreases brand advertisement effectiveness by 14% in purchase consideration metrics. The Shift findings add a behavioral dimension: people are being influenced by AI systems they do not fully trust and cannot fully see.

When respondents were asked to rank their top concerns about AI, privacy led at 48%. Accuracy followed at 36%. Lack of transparency into how AI systems operate came in at 32%. These three concerns are interconnected. Opacity about process makes it harder to assess accuracy, and both erode confidence in how personal data is being handled.

This architecture of concern is not new in principle. A Usercentrics study published in July 2025 and covered by PPC Land found that 59% of consumers were uncomfortable with their data being used to train AI systems. A December 2025 Verve survey documented that 65% of consumers worry about AI data training, with 97% demanding greater transparency from publishers. The Shift survey, covering 1,448 Americans in early 2026, shows that these concerns have not diminished. If anything, they have consolidated into a durable pattern.

Regulation moves from fringe to mainstream

One of the report's most consequential findings is on regulatory sentiment. According to the survey, 79% of respondents favor some level of government regulation for AI answer engines. Of those, 35% advocate for strong regulation. Only 12% believe no additional regulation is needed.

Those numbers reflect a population that is not waiting for industry self-governance to catch up. They reflect growing public pressure for formal standards around transparency and data protection - the kind of pressure that has already produced legislative action in Europe and is now building in the United States.

EU regulatory frameworks for general-purpose AI models took effect in 2025, setting computational benchmarks and documentation obligations for AI providers. The EU AI Act's boundary between persuasion and manipulation has been actively clarified by the European Commission - directly relevant to AI systems that, according to the Shift survey, are influencing consumer opinions 58% of the time. In the United States, Attorneys General from 44 jurisdictions warned AI companies in August 2025 that they would be held accountable for exploitative practices.

Against that backdrop, the Shift survey's 79% figure is less surprising than it might initially appear. The regulatory direction is already set in multiple jurisdictions. What the data adds is a public mandate: consumers are not merely tolerating oversight proposals, they are demanding them.

Uneven adoption across demographics

AI usage remains far from uniform. The survey distinguishes daily engagement from non-use and finds that the gap is tied to age and occupation. Daily AI use is highest among 25 to 34-year-olds and working professionals. Non-use is concentrated among adults 65 and older - 20% of all respondents report never using AI.

This demographic split has direct implications for marketing. Previous research from Equativ published in October 2025 found that 67% of consumers use AI more than once per week across North America and Europe, a higher figure than the Shift survey's 32% daily use - a gap likely explained by differing definitions of "use" and geographic scope. What both surveys share is the finding that adoption is advancing unevenly, with younger and professionally active users well ahead of older demographics.

For many respondents in the Shift data, AI has improved digital workflows without yet delivering what the report calls "transformational time savings." That framing - practical utility yes, fundamental change not yet - suggests that the next stage of adoption will be driven by specific task performance rather than broad AI enthusiasm. Consumers are trying AI because it works for particular jobs, not because they have embraced it as a general paradigm shift.

What consumers actually want from AI

When asked about desired functionality, the survey produces a practical hierarchy. Research assistance tops the list at 54%. Article summarization follows at 34%. Task automation is third at 32%. These are not aspirational AI use cases - they are workhorse functions that reflect how AI is actually being used rather than how it is marketed.

The dominance of research assistance is notable in the context of search. As PPC Land has documented extensively, AI-powered search features are reshaping traffic flows across the web. Google's AI Overviews, active in more than 100 countries, are generating direct answers that reduce clicks to source websites. The consumer desire for AI research assistance is, in practical terms, already being served - often without users fully understanding the mechanics of how those answers are generated or whose content is being used to produce them.

That gap between functional satisfaction and structural transparency runs through the entire survey. Consumers find AI useful. They also find it opaque, data-hungry, and insufficiently under their control. Those two facts coexist without cancelling each other out.

Energy concerns enter the equation

Among the survey's less-anticipated findings is the data on sustainability. According to the report, 57% of respondents say they are concerned about the energy required to power AI systems. That is a majority figure, not a niche concern, and it arrives at a moment when the industry is grappling openly with the environmental costs of AI infrastructure.

Meta's 2025 Sustainability Report, published in September 2025, acknowledged the tension between its net-zero commitments and the "hundreds of billions of dollars" in AI data center investment the company has announced. The Shift survey suggests that this tension is visible to consumers, not just investors and regulators. More than half of respondents are factoring energy use into how they evaluate AI platforms - a consideration that was barely on the consumer radar two years ago.

The implication for marketers is not abstract. If consumer trust in AI platforms begins to factor in operational sustainability, then brands deploying AI-powered advertising tools face a reputational dimension that goes beyond accuracy and privacy. Operational responsibility - how much energy a system consumes, how transparently that is disclosed - may increasingly influence platform selection and brand association.

Why this matters for marketing professionals

The Shift survey lands against a backdrop of industry forecasts that have been consistently warning about the gap between AI deployment speed and consumer readiness. Forrester's October 2025 predictions estimated that one-third of companies would erode brand trust and customer experience through premature AI deployments in 2026. A German industry framework published in January 2026 by BVDW found that only 25% of German consumers were willing to delegate tasks to AI agents - a figure that mirrors the conditional acceptance seen in the Shift data.

For marketing teams, several specific numbers from the Shift report warrant attention. The 44% who worry about AI taking unauthorized actions maps directly onto the trust infrastructure required for agentic advertising campaigns - systems that are, by design, acting without approval on individual decisions. The 51% who want customizable AI features points toward a demand for granular control mechanisms that most current ad platforms do not yet offer users. The 79% who favor regulation suggests that the regulatory environment tightening around AI advertising will have public backing, not face headwinds from users.

The 16% who trust AI answer engines "a great deal" is perhaps the most sobering number in the entire report. Deep trust - the kind that sustains long-term engagement and brand affinity - is rare. Most consumers who use AI daily are doing so with eyes open to its limitations, its opacity, and its appetite for personal data. They have not outsourced their skepticism. They have just decided the utility is worth the risk, for now.

That conditional calculus is the central challenge for any marketer building strategy around AI-mediated channels. The channel is growing. The trust underpinning it is thin. And consumers, according to 79% of them, are expecting government to set guardrails that the industry has not yet set for itself.

About the survey

Shift Browser's 2026 AI Consumer Insights Survey was conducted among 1,448 respondents, weighted to be nationally representative by income, ethnicity, age, gender, and region. Shift Browser is a customizable browser designed for professionals managing multiple accounts and applications. The company is part of the Redbrick portfolio and holds Certified B Corp status. It describes itself as a pioneer in carbon-neutral browsing.

Timeline

Summary

Who: Shift Browser, a customizable professional browser and part of the Redbrick portfolio, conducted and published the survey. The findings were announced by Michael Foucher, Vice President of Product and Customer Success at Shift. The survey covered 1,448 nationally representative US respondents.

What: The 2026 AI Consumer Insights Survey documents consumer attitudes toward AI adoption, trust, privacy, control, regulation, and energy use. Key findings include 81% concerned about AI accessing personal data, 32% daily AI users, 53% saying AI improves their online experience, only 16% trusting AI answer engines "a great deal," and 79% favoring some level of government regulation. Among desired AI functions, 54% prioritize research assistance, 34% article summarization, and 32% task automation.

When: The survey was released on March 3, 2026, with the embargo lifted at 9 am Eastern Time. The respondents were surveyed prior to this release date, with the sample of 1,448 weighted to be nationally representative.

Where: The survey was conducted among US respondents and published from Victoria, BC, Canada, where Shift Browser is headquartered. The findings have implications for digital advertising and marketing technology markets globally, particularly as agentic AI deployments accelerate across programmatic advertising platforms.

Why: The report was commissioned as AI features become increasingly embedded in browsers, search engines, and digital tools, and as the gap between rapid AI deployment and consumer readiness widens. The data provides evidence that consumer acceptance of AI depends heavily on transparency, control mechanisms, and oversight - findings that carry direct implications for marketers deploying AI-powered advertising systems and for regulators developing AI governance frameworks.

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