As of June 2026, Statistical Assistants has an AI-exposure score of 75/100 (Very High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.
Statistical Assistants
More exposed than 96% of the roles we track. Median pay ~US$50,330. About 800 projected openings a year (BLS 2024–34 — growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.
How you compare to similar Administrative roles
Your tasks, by AI exposure
- File data and related information, and maintain and update databases.
- Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.
- Compile reports, charts, or graphs that describe and interpret findings of analyses.
- Enter data into computers for use in analyses or reports.
- Participate in the publication of data or information.
- Check source data to verify completeness and accuracy.
- Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used.
- Compute and analyze data, using statistical formulas and computers or calculators.
- Code data prior to computer entry, using lists of codes.
- Organize paperwork, such as survey forms or reports, for distribution or analysis.
- Interview people and keep track of their responses.
- Select statistical tests for analyzing data.
- Send out surveys.
- Discuss data presentation requirements with clients.
No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (93%).
Safer adjacent roles
Your AI-Safe Career Report
Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.
AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026
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