Report · AI & Tech

Most Americans choose humans over AI chatbots for personal health

Reading

In a Verasight survey of 1,000 U.S. adults conducted Aug. 1 to 6, 2025, 81% of Americans said they would rather talk to a human than an AI chatbot in an interview about their personal health.

One-in-ten said they would rather talk to an AI chatbot (10%). Another 9% were not sure (9%).

Topline

single choice

Topline distribution

81% of Americans prefer humans over AI chatbots for personal health interviews.

Would you rather talk to a human or an AI chatbot in an interview on your personal health?

  • Human 81.5%
  • AI chatbot 9.9%
  • Not sure 8.6%

2025 · base n 1,000 · +/- 3.2%

A

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
2025-08-01 → 2025-08-06
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
A

Source

  • 01
    Most Americans choose humans over AI chatbots for personal healthreports.verasight.io/reports/verasight-quirks-omnibus-survey

Citation

Verasight Quirks Omnibus Survey, fielded August 1-6, 2025, N=1,000 United States adults, +/- 3.2%.

https://reports.verasight.io/reports/verasight-quirks-omnibus-survey#would-you-rather-talk-to-a-human-or-an-ai-chatbot-in-an-interview-on-your-personal-health

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.