Report · AI & Tech

Americans are split on AI's growing role in society

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Asked about "the growing role of AI in society," U.S. adults tilt about evenly toward hope and worry, a June 2025 Verasight survey finds. Thirty-six percent feel optimistic about where the technology is headed, including 11% who are very optimistic, while 34% feel pessimistic, including 14% who are very pessimistic.

Roughly a quarter of adults (26%) feel neutral about it, and another 3% are not sure.

Topline

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Topline distribution

Americans are split on AI's growing role in society.

Looking ahead, how do you feel about the growing role of AI in society?

  • Neutral 26.4%
  • Somewhat optimistic 25.3%
  • Somewhat pessimistic 20.3%
  • Very pessimistic 13.9%
  • Very optimistic 10.6%
  • Not sure 3.4%

2025 · base n 1,500 · +/- 3.2%

AI Adoption Survey June 2025

Source report pending

Methodology

Source report pending
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2025-06-19 → 2025-06-24
Base (unweighted)
1,500
Margin of error
+/- 3.2%
Module
AI Adoption Survey June 2025

Source

  • 01
    Source report pending

Citation

AI Adoption Survey June 2025, fielded June 19-24, 2025, N=1,500 US adults age 18+, +/- 3.2%.

Source report pending

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. When a wave report is published, its field dates, sample sizes, and module breakdown are listed in that report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
The canonical report hub is reports.verasight.io. Verified legacy reports remain on their original hosts, and unpublished reports are marked pending.
Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

The canonical report hub is reports.verasight.io; older reports may remain on verified legacy hosts.