Report · AI & Tech

Six-in-ten Americans used AI tools in the past month

Reading

In a Verasight survey of 1,500 U.S. adults conducted June 19 to 24, 2025, 61% of Americans said they had used artificial intelligence tools in their work or personal life in the past month.

About four-in-ten said they had not used AI tools in that period (39%).

Topline

single choice

Topline distribution

61% of Americans used AI tools in the past month.

Have you used artificial intelligence (AI) tools in your work or personal life at all the past month?

  • Yes 61.3%
  • No 38.7%

2025 · base n 1,500 · +/- 3.2%

AI Adoption Survey June 2025

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
2025-06-19 → 2025-06-24
Base (unweighted)
1,500
Margin of error
+/- 3.2%
Module
AI Adoption Survey June 2025

Source

  • 01
    Six-in-ten Americans used AI tools in the past monthreports.verasight.io/reports/ai-adoption-survey-june-2025

Citation

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

https://reports.verasight.io/reports/ai-adoption-survey-june-2025#have-you-used-artificial-intelligence-ai-tools-in-your-work-or-personal-life-at-all-the-past-month

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.