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AI Automation Index
Will AI Replace Human Resources Specialists?
Task-level automation exposure for Human Resources Specialists: 26 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
57%
weighted task index
26 of 26 tasks scored
Median Salary
$75,940 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
912,430 people hold this job — size, not growth
Projected 2025–35
+6.4%
employment change
73,700 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$40,900 – $110,970
Highest medians
District of Columbia $110,970
Massachusetts $85,630
Washington $84,550
New York $84,380
Maryland $83,910
Lowest medians
Puerto Rico $40,900
Arkansas $55,010
Guam $59,900
Virgin Islands $60,210
Mississippi $60,300
State figures come from the 13-1071 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 57%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 46%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 17%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 4/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
26 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 37%
9 tasks
Medium exposure (≥ 35%) 60%
16 tasks
Low exposure (below 35%) 4%
1 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#18861 · Core · 62% automatable
Interpret and explain human resources policies, procedures, laws, standards, or regulations.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures.
#18859 · Core · 55% automatable
Hire employees and process hiring-related paperwork.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#18864 · Core · 80% automatable
Maintain current knowledge of Equal Employment Opportunity (EEO) and affirmative action guidelines and laws, such as the Americans with Disabilities Act (ADA).
information retrieval — AI tracks regulatory changes; human confirms applicability
Update knowledge of legal or regulatory environments.
#18866 · Core · 85% automatable
Prepare or maintain employment records related to events, such as hiring, termination, leaves, transfers, or promotions, using human resources management system software.
data analysis — Enter and maintain data in information systems
Maintain data in information systems or databases.
#18852 · Core · 45% automatable
Address employee relations issues, such as harassment allegations, work complaints, or other employee concerns.
decision support — Judgment on personnel adherence needs human accountability
Evaluate personnel practices to ensure adherence to regulations.
#18868 · Core · 55% automatable
Review employment applications and job orders to match applicants with job requirements.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#18860 · Core · 40% automatable
Inform job applicants of details such as duties and responsibilities, compensation, benefits, schedules, working conditions, or promotion opportunities.
interpersonal — Recruitment coordination aided by AI, human decides
Coordinate personnel recruitment activities.
#18871 · Core · 55% automatable
Select qualified job applicants or refer them to managers, making hiring recommendations when appropriate.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#18870 · Core · 65% automatable
Schedule or conduct new employee orientations.
text generation — Draft training materials; human tailors content
Develop training materials. Train personnel to enhance job skills.
#18863 · Core · 85% automatable
Maintain and update human resources documents, such as organizational charts, employee handbooks or directories, or performance evaluation forms.
data analysis — Maintain files and records in structured systems
Maintain records, documents, or other files.
#18856 · Core · 45% automatable
Confer with management to develop or implement personnel policies or procedures.
interpersonal — Strategy discussion with managers is accountable judgment
Discuss business strategies, practices, or policies with managers.
#18857 · Core · 65% automatable
Contact job applicants to inform them of the status of their applications.
text generation — Status notifications drafted and sent by AI
Inform individuals or organizations of status or findings.
#18854 · Core · 30% automatable
Conduct exit interviews and ensure that necessary employment termination paperwork is completed.
interpersonal — Live interviewing is human relational work
Interview employees, customers, or others to collect information.
#18862 · Core · 42% automatable
Interview job applicants to obtain information on work history, training, education, or job skills.
interpersonal — Live interview judgment and rapport; AI can only screen
Conduct eligibility or selection interviews.
#18865 · Core · 40% automatable
Perform searches for qualified job candidates, using sources such as computer databases, networking, Internet recruiting resources, media advertisements, job fairs, recruiting firms, or employee referrals.
interpersonal — Recruitment coordination aided by AI, human decides
Coordinate personnel recruitment activities.
#18867 · Core · 48% automatable
Provide management with information or training related to interviewing, performance appraisals, counseling techniques, or documentation of performance issues.
interpersonal — Managerial training content draftable, facilitation is human
Train personnel on managerial topics.
#18853 · Core · 73% automatable
Analyze employment-related data and prepare required reports.
text generation — Generate operational reports from structured data
Evaluate effectiveness of personnel policies or practices. Prepare operational reports.
#18872 · Core · 55% automatable
Advise management on organizing, preparing, or implementing recruiting or retention programs.
interpersonal — HR advice sensitive; accountability and context human
Advise others on human resources topics.
#18858 · Core · 40% automatable
Develop or implement recruiting strategies to meet current or anticipated staffing needs.
interpersonal — Recruitment coordination aided by AI, human decides
Coordinate personnel recruitment activities.
#21097 · Supplemental · 53% automatable
Administer employee benefit plans.
data analysis — Rules-based benefits admin; human handles exceptions
Perform human resources activities. Administer compensation or benefits programs.
#18869 · Supplemental · 55% automatable
Schedule or administer skill, intelligence, psychological, or drug tests for current or prospective employees.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#18855 · Supplemental · 75% automatable
Conduct reference or background checks on job applicants.
decision support — Eligibility screening against rules, human decides edge cases
Verify application data to determine program eligibility.
#18876 · Supplemental · 62% automatable
Review and evaluate applicant qualifications or eligibility for specified licensing, according to established guidelines and designated licensing codes.
decision support — Screens applications against criteria; human owns approval
Review license or permit applications.
#18874 · Supplemental · 54% automatable
Evaluate recruitment or selection criteria to ensure conformance to professional, statistical, or testing standards, recommending revisions, as needed.
decision support — Drafts advice; accountability and context owned by human
Evaluate personnel practices to ensure adherence to regulations. Advise others on business or operational matters.
#18873 · Supplemental · 40% automatable
Coordinate with outside staffing agencies to secure temporary employees, based on departmental needs.
interpersonal — Recruitment coordination aided by AI, human decides
Coordinate personnel recruitment activities.
#18875 · Supplemental · 55% automatable
Evaluate selection or testing techniques by conducting research or follow-up activities and conferring with management or supervisory personnel.
decision support — Policy evaluation needs organizational context and judgment
Evaluate effectiveness of personnel policies or practices. Discuss business strategies, practices, or policies with managers.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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