Report · AI & Tech

When people use AI for health, it's often to talk through their feelings

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When Americans turn to AI for their health, talking through their feelings in a therapy-like conversation is the top use: 42% have used it that way, according to a September 2025 Verasight survey.

Nearly as many use it for stress, anxiety, or sleep support (40%), and about a third turn to it for coping strategies like reframing or breathing prompts (32%) or for relationship and family advice (32%). Smaller shares use it for mood tracking or journaling prompts (21%), crisis information or safety resources (18%), or scheduling and finding human therapy (10%), while 13% say they haven't used AI for any of these purposes.

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Selected responses

When people use AI for health, it's often to talk through their feelings.

When it comes to your physical and mental health what did you use AI for?

  • Talking through feelings (“therapy-like” conversation) 41.9%
  • Stress, anxiety, or sleep support 40.3%
  • Coping strategies (e.g., reframing, breathing prompts) 32.5%
  • Relationship/family advice 31.9%
  • Mood tracking or journaling prompts 21.2%
  • Crisis information or safety resources 17.7%
  • I haven't used AI for these purposes 13.3%
  • Scheduling or finding human therapy 9.6%
  • Other (please specify) 2.6%

2025 · base n 353 · +/- 6.8%

AI Adoption Survey August 2025

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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
2025-09-03 → 2025-09-08
Base (unweighted)
353
Margin of error
+/- 6.8%
Module
AI Adoption Survey August 2025

Source

Citation

AI Adoption Survey August 2025, fielded September 3-8, 2025, N=353 United States adults, +/- 6.8%.

https://reports.verasight.io/r/august-ai-survey-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.