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U.S. Consumer Trust in AI: Tracking the Shift

Americans are using AI more than ever — and trusting it less. That is the defining paradox of 2026: half of U.S. adults now use AI chatbots, but only about 29% of those users say they trust the information the chatbots give them. Over a single year, the share of consumers who find AI more helpful than traditional search fell from 82% to 54%, and the active-skeptic camp grew nearly sixfold. Trust is also deeply uneven: it rises faster among younger adults (a third of Gen Z report growing trust, versus one in seven Boomers), tracks education (college-educated adults are far likelier to say they understand AI), and splits modestly by gender, with women more likely to worry about AI bias. This page tracks the shift — the use-vs-trust gap, the year-over-year decline, and how trust breaks down across demographics.

4 visualizations 4 sources Last updated June 2026 Free to embed
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Source: Pew “Americans and AI 2026” (use vs. trust). Trust figure is among chatbot users.
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Chart 1 · The core paradox

Use vs. trust in AI chatbots

The paradox: high use, low trust

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Source: Pew “Americans and AI 2026”: 49% of U.S. adults use AI chatbots, but only 29% of those users say they have “a lot” or “some” trust in the information chatbots provide — meaning ~7 in 10 users hold little or no trust. Adoption has outrun trust.
Chart 2 · Trust is falling

AI seen as more helpful than search: 2025 vs 2026

Enthusiasm cooled sharply in one year

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Source: Fractl / Search Engine Land 2026 (1,008 U.S. consumers, YoY): the share saying AI is more helpful than traditional search fell from 82% (2025) to 54% (2026) — a 28-point drop — while the “skeptic” camp grew from 3% to 17%. Usage rose even as enthusiasm cooled.
Chart 3 · By generation

Increased trust in AI, by generation

Rising trust in AI, by generation

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Source: YouGov 2025–26: share reporting increased trust in AI over the past year — Gen Z 33%, Millennials 23%, Gen X 19%, Boomers 14%. Younger Americans are warming to AI faster, but no generation shows majority rising trust.
Chart 4 · By education & gender

Understanding and concern gaps

Trust & understanding track education and gender

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Source: SQ Magazine / industry trust trackers 2026: 59% of college-educated adults say they understand AI basics vs. 34% of those with less formal education; women are ~8 points more likely than men to report concern about AI bias. Trust tracks education and splits by gender. Figures from aggregated trust surveys.

About this data

This page tracks U.S. consumer trust in AI, drawing on Pew Research Center’s “Americans and AI 2026” (5,119 adults), Fractl’s year-over-year study with Search Engine Land (1,008 consumers), YouGov’s trust tracking, and aggregated industry trust surveys.

The AI Behavior Index is the research arm of OneChat AI, an integrated multi-model AI platform. We compile and analyze data from primary research sources to make AI adoption and market trends more accessible to journalists, researchers, and decision-makers.

Why “trust” numbers differ across charts: they measure different questions. Pew’s 29% is “trust the information chatbots provide” (among users); Fractl’s 82%→54% is “AI is more helpful than search”; YouGov’s generational figures are “trust increased over the past year.” These are related but distinct dimensions of trust, which is why we label each precisely rather than blending them into one number.

Methodology notes: the Pew and Fractl figures are from probability or large-panel samples; the education/gender figures come from aggregated industry trust trackers and are best read as directional. The generational chart measures change in trust (warming), not absolute trust level. Trust is a fast-moving sentiment; these reflect late-2025 to mid-2026 readings and will shift.

Sources used on this page:

Corrections or suggestions: research@aibehaviorindex.org

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