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Articles October 6, 2026

2026 Consumer Research: The New Rules of Al Adoption

CapTech
Author
CapTech

Research Methodology

CapTech surveyed 618 U.S. adults from July 20 through August 6, 2026. Respondents evaluated a randomized subset of five Al scenarios exploring value, trust, concern, controls, data sharing, cost, and personal and workplace use. Scenario bases ranged from 478 to 505. The research also includes a like-for-like comparison with CapTech's 2025 consumer study of 447 respondents. The studies used separate cross-sectional samples and did not track the same individuals over time.

Uncertainty isn't going away. Adoption occurs when people see enough value to move forward and have enough control to make that decision acceptable.

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Uncertainty doesn't stop Al usage.

Consumers aren't waiting to fully trust Al before they use it. When Al delivers clear, meaningful value, people are willing to engage even when trust is still developing.

Large statistic graphic showing that 68.7% of consumers would use AI to help find information. A supporting note indicates that only 35.6% of those willing to use AI for this purpose would trust AI.
Four large statistic callouts showing consumer willingness to use various AI capabilities. 53.6% would use AI that understands them, 47.5% would allow AI to take action on their behalf, 40.6% would use AI instead of human assistance, and 34.5% would use AI that is always listening. Trust levels among those willing to use these capabilities range from 22.8% to 28.7%.

Explore the four consumer behavioral segments from our 2025 Research.

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Even engaged users are concerned users.

Active Al users are not unaware of the risks. The heaviest users in the study also reported the greatest concern about negative outcomes. Explore the four consumer behavioral segments from our 2025 research.

2025 Consumer Survey: Solving the Personalization Paradox

 

Dot plot titled “Average Score by Behavioral Segment” comparing concern about AI with likelihood to use AI on a five-point scale. Cautious Observers show concern 2.27 and likelihood to use 3.61, Engaged Skeptics show concern 3.30 and likelihood 3.34, Curious Explorers show concern 3.37 and likelihood 3.99, and Committed Adopters show concern 3.71 and likelihood 4.53. A callout challenges the assumption that concerned consumers avoid AI, finding that people are willing to use AI despite uncertainty and lingering concerns.

Value motivates higher usage.

Seeing value can motivate greater AI use, even while uncertainty remains.

Consumers who identify more benefits report greater willingness to use and trust Al. Concern about negative consequences remains elevated.

But higher usage hasn't become habit.

Multi-line chart showing how perceptions of an AI system change as more benefits are identified. Likelihood to use increases from 1.35 when no benefits are identified to 3.83 when three benefits are identified. Trust in the AI tool increases from 1.26 to 3.24. Concern about consequences decreases from about 4.35 to 3.24, while perceived seriousness if the AI is wrong declines from about 4.30 to 3.40. Results indicate that recognizing benefits increases adoption and trust while reducing concern.

88% of Engaged Skeptics see a use for Al, if it delivers meaningful value.

The opportunity is with people who are already using Al, but have not committed.

Engaged Skeptics now make up the largest share of consumers. The challenge for businesses isn't simply getting them to try Al. It's proving enough value to keep them coming back.

Grouped bar chart comparing AI adoption segments in 2025 and 2026. Committed Adopters remain at 7%, Curious Explorers decline from 25% to 16%, Engaged Skeptics increase from 32% to 41%, and Cautious Observers rise slightly from 35% to 36%. A callout challenges the assumption that reducing concerns and building trust alone will increase adoption, finding that perceived value drives continued engagement even when uncertainty remains.

Commitment requires control.

Requesting safeguards is a sign of engagement, not resistance. 54.2% of consumers who expect at least one safeguard would use the Al system, compared with just 5.3% of those who expect none.

 

Willingness is highest among consumers expecting three safeguards.

Bar chart titled “Willingness is highest among consumers expecting three safeguards.” Willingness to use AI rises from 5.3% among consumers expecting no safeguards to 41.7% with one safeguard, 61.3% with two safeguards, and peaks at 66.6% with three safeguards. Willingness then declines to 50.6% among those expecting four safeguards and 47.5% among those expecting five safeguards.
Bar chart titled “Willingness is highest among consumers expecting three safeguards.” Willingness to use AI rises from 5.3% among consumers expecting no safeguards to 41.7% with one safeguard, 61.3% with two safeguards, and peaks at 66.6% with three safeguards. Willingness then declines to 50.6% among those expecting four safeguards and 47.5% among those expecting five safeguards.

Commitment requires control.

Requesting safeguards is a sign of engagement, not resistance. 54.2% of consumers who expect at least one safeguard would use the Al system, compared with just 5.3% of those who expect none.

 

Willingness is highest among consumers expecting three safeguards.

The Controls They Ask For

Five percentage callouts showing the AI safeguards consumers most want. The most requested controls are the ability to correct errors (55.0%) and receive data summaries (54.9%), followed by human review (48.5%), the ability to opt out (44.5%), and explanations of AI decisions (41.0%).

The same lesson applies at work.

Making Al available is only part of the adoption challenge. 

Among employed respondents who don't use Al at work, 35.2% chose not to use it and 19.3% cited unavailable or restricted access. Others cited reasons including role relevance and privacy or compliance considerations. 

Making tools available creates access. Sustained workplace use also depends on connecting Al to relevant work, clarifying accountability and giving employees meaningful control.

Access is only part of the workplace adoption challenge.

Bar chart titled “Access is only part of the workplace adoption challenge.” Reasons workplace AI non-users do not use AI include Privacy/Compliance (11%), Not Part of Role (18%), Unavailable/Restricted (19%), and Prefer Not To/Not Confident (45%), with lack of confidence the largest barrier. A callout challenges the assumption that non-users simply need more access, noting respondents were far more likely to cite uncertainty and lack of confidence than access restrictions as barriers to workplace AI use.

Lead with value. Build in control.

Focus Al investments on specific, high-value use cases. Make the benefit clear, design around the task, and give people meaningful control over their experience. 

Trial shows interest. Repeat use shows the value exchange is working.

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