Report · AI & Tech

Fewer than a third think ChatGPT is good for society

Reading

Fewer than three-in-ten Americans (29%) agree that ChatGPT is beneficial for society, including 12% who strongly agree.

Nearly half (49%) take no side, neither agreeing nor disagreeing, while 22% reject the claim, including 11% who strongly disagree, according to a May 2023 Verasight survey.

Topline

response scale

Topline scale

Fewer than a third think ChatGPT is good for society.

To what degree do you agree or disagree with the following statement?: ChatGPT is beneficial for society

  • Neither agree/disagree 48.8%
  • Somewhat agree 17.1%
  • Strongly agree 12.1%
  • Strongly disagree 11.2%
  • Somewhat disagree 10.7%

2023 · base n 1,000 · +/- 3.3%

AAPOR 2023 Omnibus Survey #2023-036

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
2023-05-16 → 2023-05-17
Base (unweighted)
1,000
Margin of error
+/- 3.3%
Module
AAPOR 2023 Omnibus Survey #2023-036

Source

Citation

AAPOR 2023 Omnibus Survey #2023-036, fielded May 16-17, 2023, N=1,000 United States adults, +/- 3.3%.

https://verasight-aapor-2023.tiiny.co#agreement-with-chatgpt-is-beneficial-for-society

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.