As of August 2026, Recruiter has an AI-exposure score of 61/100 (Elevated 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: AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Recruiter

61/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 68% of the roles we track. Median pay ~US$64,240.

Pay & demand figures are US medians (in USD; curated approximation (not refreshed from BLS; 2022–32 framing)) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Recruiter?

No exposure score can predict whether AI will replace this role. The 61/100 score means our current model estimates elevated 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's task mix is automation-heavy, but it sits in the Elevated exposure band rather than our highest-exposure bands. That is only a partial match to the study's cohort, so the headline figure is context rather than a direct forecast for this role.

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.

How this role compares to similar Human Resources roles

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 title match

Recruit, screen, interview, or place individuals within an organization. May perform other activities in multiple human resources areas.

Common titles
HR Coordinator (Human Resources Coordinator)HR Generalist (Human Resources Generalist)Human Resources Specialist (HR Specialist)RecruiterCorporate RecruiterEmployment Representative
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
SourcingRelationship buildingATSPersonnel and Human ResourcesAdministrativeAdministration and Management
Work context
Indoor controlled settingFrequent contact with othersDecision latitudeRepeating tasks

Source: O*NET 29.1 title match - Human Resources Specialists, SOC 13-1071.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Recruiter tasks, by AI exposure

Automatable
  • Source and screen candidates
  • Schedule and coordinate interviews
  • Conduct exit interviews and ensure that necessary employment termination paperwork is completed.
9 more automatable tasks locked in the report.
Augmentable
  • Assess candidate fit
  • Maintain current knowledge of Equal Employment Opportunity (EEO) and affirmative action guidelines and laws, such as the Americans with Disabilities Act (ADA).
5 more augmentable tasks locked in the report.
Durable
  • Build hiring-manager relationships

We analyzed all 20 Recruiter tasks - 12 automatable, 7 augmentable and 1 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.

HR Manager
74% skills overlap; 13 points lower - lower exposure; Moderate band; ~US$136,350
View path
48
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Source and screen candidates

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

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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