Report · AI & Tech

Americans are more concerned than optimistic about AI's impact

Reading

In a Verasight survey of 1,000 U.S. adults conducted Dec. 3 to 8, 2025, 59% of Americans said they are more concerned than optimistic about the impact of artificial intelligence on America's future.

That includes 31% who said they are much more concerned and 28% who said they are somewhat more concerned. About a third were more optimistic (35%), while 6% said they did not know.

Topline

single choice

Topline distribution

59% of Americans are more concerned than optimistic about AI's impact on America's future.

Are you more optimistic or more concerned about the impact of artificial intelligence (AI) on America's future?

  • Much more concerned 31.0%
  • Somewhat more concerned 28.0%
  • Somewhat more optimistic 24.8%
  • Much more optimistic 10.1%
  • Don't know 6.1%

2025 · base n 1,000 · +/- 3.2%

tech_behavior

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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
2025-12-03 → 2025-12-08
Base (unweighted)
1,000
Margin of error
+/- 3.2%
Module
tech_behavior

Source

Citation

Verasight Human/LLM Comparison Survey #2025-172, fielded December 3-8, 2025, N=1,000 US adults age 18+, +/- 3.2%.

https://reports.verasight.io/r/verasight-human-v-synthetic

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.