Report · AI & Tech

Most Americans feel able to spot AI-generated content

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In a Verasight survey of 1,509 U.S. adults conducted July 30 to Aug. 4, 2025, 57% of Americans said they were at least somewhat confident they could tell whether content like text, images, or video was generated by AI. This includes 41% who said somewhat confident and 16% who said very confident.

About a third said they were not confident (34%), with 21% who said not very confident and 12% who said not at all confident. Another 10% said they were not sure.

Topline

response scale

Topline scale

57% of Americans are confident they can spot AI-generated content.

How confident are you that you can tell whether content (text, images, or video) was generated by AI?

  • Somewhat confident 40.9%
  • Not very confident 21.3%
  • Very confident 15.7%
  • Not at all confident 12.4%
  • Not sure 9.7%

2025 · base n 1,509 · +/- 3.1%

AI Adoption Survey July 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
2025-07-30 → 2025-08-04
Base (unweighted)
1,509
Margin of error
+/- 3.1%
Module
AI Adoption Survey July 2025

Source

  • 01
    Source report pending

Citation

AI Adoption Survey July 2025, fielded July 30-August 4, 2025, N=1,509 US adults age 18+, +/- 3.1%.

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.