Americans Are Using AI More Than Ever While Trusting It Less — Gen Z Is Most Pessimistic on Jobs

The relationship Americans have with AI is becoming more complicated. A new Quinnipiac University poll released this week surveyed 1,397 randomly selected US adults — 800 of them currently employed — and found a pattern that challenges the simple narrative of either AI enthusiasm or AI fear: Americans are using AI tools more than at any previous point, and simultaneously growing more skeptical of what those tools mean for society and their own economic futures.

The Paradox in the Numbers

Adoption rates across the survey were notably high, with majorities in most age groups reporting regular use of AI tools for work, information-seeking, or daily tasks. The number is higher among younger demographics but no longer concentrated there — middle-aged and older respondents report increasing AI use compared to prior survey waves.

Trust is moving in the opposite direction. Confidence in AI's accuracy, fairness, and societal impact has declined across most demographic segments since earlier polling. The combination is unusual: people are integrating a technology into their lives while growing less confident about it. The closest analogy in recent consumer history might be social media in its middle period — widespread adoption alongside rising awareness of downsides.

Gen Z's Specific Pessimism

The most striking finding in the poll involves generational differences on employment outlook. Gen Z — the cohort most familiar with AI tools and most likely to have used them extensively through education and early career — holds the most pessimistic view of AI's impact on the job market. Older workers, who might be expected to feel more threatened by technological displacement, are more sanguine than their younger counterparts.

This inversion is worth examining. Gen Z's pessimism may reflect more concrete exposure to what AI actually does in professional contexts — including the entry-level roles where AI displacement is most visible first. Older workers' relative optimism may reflect experience-based confidence in the value of existing skills and networks that AI cannot easily replicate. The data does not resolve which group's assessment is more accurate.

What Polls Miss

Survey data on AI attitudes has known limitations. Respondents' stated views about AI in general are often inconsistent with their behavior toward specific AI tools they use. The Quinnipiac poll is a useful snapshot of stated attitudes, not a behavioral measure. But the trend it captures — rising use alongside declining trust — is consistent with other polling data and warrants attention from companies building AI products that depend on sustained user confidence.