Report · AI & Tech

Seven-in-ten Americans feel confident spotting AI-generated videos

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In a Verasight survey of 1,000 U.S. adults conducted Nov. 14 to 20, 2025, 71% of Americans said they had at least some confidence in their ability to recognize AI-generated videos. This includes 26% who said somewhat confident, 34% who said fairly confident, and 11% who said completely confident.

About three-in-ten said they had little or no confidence (29%), with 16% who said slightly confident and 13% who said not confident at all.

Topline

response scale

Topline scale

71% of Americans have at least some confidence in spotting AI-generated videos.

How confident are you in your ability to recognize AI-generated videos when you see them?

  • Fairly confident 33.7%
  • Somewhat confident 26.2%
  • Slightly confident 16.0%
  • Not confident at all 13.3%
  • Completely confident 10.8%

2025 · base n 1,000 · +/- 3.2%

Module 3

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Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2025-11-14 → 2025-11-20
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
Module 3

Source

Citation

Verasight APHA Omnibus Survey #2025-148, fielded November 14-20, 2025, N=1,000 US adults age 18+, +/- 3.2%.

https://reports.verasight.io/r/verasight-apha-2025

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.