Report · AI & Tech

Generating ideas is what people use AI for most

Reading

Generating ideas sits atop Americans' regular uses of AI: 36% say they use it for that purpose, according to a January 2025 Verasight survey. Nearly as many (35%) say they do not use AI at all.

Seeking advice on legal, health, or educational matters (31%) and generating images and videos (28%) come next, with writing and responding to emails (26%) and summarizing articles and textbook chapters (23%) close behind. Smaller shares automate social media tasks (19%) or answer homework questions (17%).

Topline

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Selected responses

Generating ideas is what people use AI for most.

Select the best options that reflects your use of Artificial Intelligence (AI) on a regular basis

  • Generating ideas 35.7%
  • None, I do not use AI 35.5%
  • Seeking advice; legal, health, education, etc. 31.4%
  • Generating images and videos 27.9%
  • Writing and responding to emails 26.3%
  • Summarizing articles and textbook chapters 23.2%
  • Automating social media related stuff 18.7%
  • Answering homework questions 16.5%

2025 · base n 1,000 · +/- 3.3%

Verasight AEA Omnibus Survey #2025-002

Source report pending

Methodology

Source report pending
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2025-01-16 → 2025-01-27
Base (unweighted)
1,000
Margin of error
+/- 3.3%
Module
Verasight AEA Omnibus Survey #2025-002

Source

  • 01
    Source report pending

Citation

Verasight AEA Omnibus Survey #2025-002, fielded January 16-27, 2025, N=1,000 United States adults, +/- 3.3%.

Source report pending

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.