Report · AI & Tech

AI on social media is a familiar sight for eight-in-ten Americans

Reading

In a Verasight survey of 1,000 U.S. adults conducted in May 2026, 80% of Americans said they see AI on social media at least sometimes. Including 25% who said sometimes, 36% who said often, and 20% who said always.

About one in six said they almost never or never see AI on social media (16%), with 8% who said almost never and 9% who said never. Another 3% said they do not use social media.

Topline

single choice

Topline distribution

80% of Americans say they see AI on social media at least sometimes.

How often do you see AI on social media?

  • Often 35.7%
  • Sometimes 24.7%
  • Always 19.9%
  • Never 8.5%
  • Almost never 8.0%
  • I don't use social media 3.2%

2026 · base n 1,000 · +/- 3.3%

beliefs

View source

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2026-05-11 → 2026-05-11
Base (unweighted)
1,000
Margin of error
+/- 3.3%
Module
beliefs

Source

  • 01
    AI on social media is a familiar sight for eight-in-ten Americansreports.verasight.io/reports/spsp26

Citation

Verasight SPSP Omnibus Survey #2026-045, fielded May 11-11, 2026, N=1,000 US adults age 18+, +/- 3.3%.

https://reports.verasight.io/reports/spsp26#q-beliefs_technology_health-22

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's 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
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
AAPOR transparency standards.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.