Report · AI & Tech

Almost everyone says advanced math and analytical skills matter

Reading

In a Verasight survey of 1,509 U.S. adults conducted July 30 to Aug. 4, 2025, almost everyone says advanced math and analytical skills matter; 33% selected somewhat important.

The next-largest shares were 31% for very important and 23% for extremely important.

Topline

response scale

Topline scale

Almost everyone says advanced math and analytical skills matter (33%).

- High-level math, analytical, or computer skills

  • Somewhat important 33.4%
  • Very important 31.2%
  • Extremely important 23.4%
  • Not too important 9.3%
  • Not at all important 2.7%

2025 · base n 1,509 · +/- 3.1%

AI Adoption Survey July 2025

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
2025-07-30 → 2025-08-04
Base (unweighted)
1,509
Margin of error
+/- 3.1%
Module
AI Adoption Survey July 2025

Source

  • 01
    Almost everyone says advanced math and analytical skills matterreports.verasight.io/reports/ai-adoption-survey-july-2025

Citation

AI Adoption Survey July 2025, fielded July 30-August 4, 2025, N=1,509 US adults age 18+, +/- 3.1%.

https://reports.verasight.io/reports/ai-adoption-survey-july-2025#high-level-math-analytical-or-computer-skills

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
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.