Report · AI & Tech

Nearly half of Americans didn't use any AI health tools in the past year

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A slim majority of Americans (52%) say they have used an artificial intelligence tool such as ChatGPT, Gemini, or Claude to get health-related information at least once in the past year, while 48% never did, according to a June 2025 Verasight survey that put the question to 490 U.S. adults.

That use is mostly infrequent: 21% have done so just once or twice, and 16% about once or twice a month. Relatively few (15%) have used one at least weekly for health information, including 3% who have done so every day.

Topline

single choice

Topline distribution

Nearly half of Americans didn't use any AI health tools in the past year.

In the past year, how often have you used an artificial intelligence tool (e.g., ChatGPT, Gemini, Claude) to get health-related information?

  • Never 47.5%
  • Once or twice 20.9%
  • Once or twice a month 16.2%
  • Once or twice a week 6.6%
  • Many times a week 5.9%
  • Every day 2.9%

2025 · base n 490 · +/- 5.4%

ICA Conference Omnibus Survey #2025-058

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
2025-06-25 → 2025-06-30
Base (unweighted)
490
Margin of error
+/- 5.4%
Module
ICA Conference Omnibus Survey #2025-058

Source

Citation

ICA Conference Omnibus Survey #2025-058, fielded June 25-30, 2025, N=490 US adults age 18+, +/- 5.4%.

https://verasight-ica-2025.tiiny.co

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.