CapTech study finds consumers use AI before they trust it

CapTech’s survey of 618 U.S. adults shows AI adoption is moving faster than trust across five tested scenarios, including at work and in personal life. The findings suggest businesses should focus less on basic access and more on visible value, control and repeat use.

Why it matters: - CapTech’s research challenges a core assumption about AI adoption: consumers do not need full trust before they will try the technology. - The study suggests business leaders should measure success by whether AI delivers clear value and brings people back, not just by whether people can access it once. - The findings also show a higher bar for workplace AI than for personal use, which matters for deployment, employee training and governance.

What happened: - CapTech surveyed 618 U.S. adults from July 20 through August 6, 2026. - Respondents evaluated a randomized subset of five AI scenarios covering value, trust, concern, controls, data sharing, cost, and personal and workplace use. - Across all five AI experiences tested, respondents were more willing to use AI than to trust it. - CapTech compared the 2026 results with a 2025 consumer study of 447 respondents.

The details: - For an AI system that helps people find things, 68.7% said they would use it, while 35.6% said they would trust it. - For AI that understands a user, 53.6% said they would use it, compared with 28.7% who would trust it. - For AI that acts on a user’s behalf, 47.5% would use it and 27.9% would trust it. - Committed Adopters, the study’s heaviest users, reported the highest average concern score among the four behavioral segments. - The study found that people can recognize AI’s risks and still choose to use it. - The average respondent reported using AI at least occasionally in 5.46 of eight measured personal activities, up from 4.85 in 2025. - Only 33% said they use AI daily for at least one of those activities. - Engaged Skeptics, who use AI occasionally for tasks such as customer service or basic automation, made up 41% of respondents in 2026 and were the largest segment. - Among Engaged Skeptics, only 12% said nothing would make an AI system worth using. - Consumers wanted clear controls: 55% wanted the ability to correct AI errors, 54.9% wanted a summary of the data being used, and 48.5% wanted access to human review. - The most committed AI users also asked for greater control in several measures, showing that safeguards can signal engagement rather than resistance. - Every AI experience tested was less welcome at work than in respondents’ personal lives. - Workplace use trailed personal use by 2.7 to 15 percentage points across the five scenarios. - Among employed respondents who did not use AI at work, 35.2% chose not to use workplace AI, compared with 19.3% who said access was unavailable or restricted. - Brian Bischoff, CapTech’s chief technology officer, said getting someone to try AI is one thing and giving them a reason to come back is where the real work begins.

Between the lines: - The results point to a split between experimentation and habit. Consumers appear willing to test AI even while uncertainty remains, but routine daily use is lagging. - The data also suggests trust is not a prerequisite for adoption. Value, convenience and task relevance may matter more in the short term. - In the workplace, the findings imply that access alone will not drive use. Employees need to understand the benefit, their responsibility and the controls available when AI makes mistakes.

What's next: - CapTech is directing readers to the full 2026 CapTech Consumer AI Research. - For business leaders, the practical next step is to make value obvious, establish meaningful controls and reduce the downside of error. - The study suggests future AI adoption will depend less on broad readiness and more on whether specific use cases earn repeat use.