As of August 2026, Social Science Research Assistants has an AI-exposure score of 76/100 (Very High exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Social Science Research Assistants

76/100
Very High exposure
LowModerateElevatedHighVery High

More exposed than 95% of the roles we track. Median pay ~US$61,990. About 5,200 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.

Will AI replace Social Science Research Assistants?

No exposure score can predict whether AI will replace this role. The 76/100 score means our current model estimates very high task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Very High exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Assist social scientists in laboratory, survey, and other social science research. May help prepare findings for publication and assist in laboratory analysis, quality control, or data management.

Common titles
Graduate Research AssistantResearch AssistantResearch AssociateSocial Research AssistantClinical Research AssistantGraduate Assistant
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionCritical ThinkingWritingComplex Problem SolvingSpeakingScience
Work context
Indoor controlled settingDecision latitudeRepeating tasksFrequent contact with others

Source: O*NET 29.1 exact occupation - Social Science Research Assistants, SOC 19-4061.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Social Science Research Assistants tasks, by AI exposure

Automatable
  • Verify the accuracy and validity of data entered in databases, correcting any errors.
  • Code data in preparation for computer entry.
  • Track laboratory supplies and expenses such as participant reimbursement.
1 more automatable task locked in the report.
Augmentable
  • Recruit and schedule research participants.
  • Screen potential subjects to determine their suitability as study participants.
5 more augmentable tasks locked in the report.
Durable
  • Conduct internet-based and library research.
  • Perform descriptive and multivariate statistical analyses of data, using computer software.
7 more durable tasks locked in the report.

We analyzed all 20 Social Science Research Assistants tasks - 4 automatable, 7 augmentable and 9 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Survey Researchers
72% skills overlap; 9 points lower - lower exposure; High band; ~US$69,460
View path
67
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Verify the accuracy and validity of data entered in databases, correcting any errors.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
Unlock the report to check this task

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

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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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Social Science Research Assistants - median pay by US state (BLS OEWS, USD)

New York: US$61,210California: US$60,250Texas: US$58,070Florida: US$50,700

Median annual wage, in USD. US national: US$61,990. More states are being added.

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