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AI Automation Index
Will AI Replace Human Resources Assistants, Except Payroll and Timekeeping?
Task-level automation exposure for Human Resources Assistants, Except Payroll and Timekeeping: 19 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
62%
weighted task index
19 of 19 tasks scored
Median Salary
$50,610 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
90,220 people hold this job — size, not growth
Projected 2025–35
-6.2%
employment change
7,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$29,080 – $59,050
Highest medians
District of Columbia $59,050
California $57,590
Washington $57,390
Maryland $56,880
Alaska $56,510
Lowest medians
Puerto Rico $29,080
Guam $35,990
Alabama $42,140
West Virginia $42,990
Mississippi $44,780
State figures come from the 43-4161 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 62%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 6%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 15%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 18%
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 14/100
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
19 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) 57%
9 tasks
Medium exposure (≥ 35%) 33%
8 tasks
Low exposure (below 35%) 10%
2 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
#18572 · Core · 80% automatable
Process, verify, and maintain personnel related documentation, including staffing, recruitment, training, grievances, performance evaluations, classifications, and employee leaves of absence.
data analysis — Record personnel information into databases
Record personnel information.
#2689 · Core · 80% automatable
Record data for each employee, including such information as addresses, weekly earnings, absences, amount of sales or production, supervisory reports on performance, and dates of and reasons for terminations.
data analysis — Record personnel information into databases
Record personnel information.
#2687 · Core · 62% automatable
Explain company personnel policies, benefits, and procedures to employees or job applicants.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures.
#2702 · Core · 60% automatable
Provide assistance in administering employee benefit programs and worker's compensation plans.
data analysis — Rules-based benefits admin; human handles exceptions
Administer compensation or benefits programs.
#2691 · Core · 62% automatable
Answer questions regarding examinations, eligibility, salaries, benefits, and other pertinent information.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures.
#21013 · Core · 15% automatable
Prepare and set up for new employee orientations.
physical manipulation — Setting up classroom materials is physical arrangement
Set up classroom materials or equipment.
#2693 · Core · 85% automatable
Gather personnel records from other departments or employees.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation.
#2692 · Core · 85% automatable
Examine employee files to answer inquiries and provide information for personnel actions.
information retrieval — Search files and references for info
Search files, databases or reference materials to obtain needed information.
#2694 · Core · 85% automatable
Search employee files to obtain information for authorized persons and organizations, such as credit bureaus and finance companies.
information retrieval — Search files and references for info
Search files, databases or reference materials to obtain needed information.
#2697 · Core · 85% automatable
Compile and prepare reports and documents pertaining to personnel activities.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation.
#2695 · Supplemental · 30% automatable
Interview job applicants to obtain and verify information used to screen and evaluate them.
interpersonal — Live interviewing is human relational work
Interview employees, customers, or others to collect information.
#2690 · Supplemental · 55% automatable
Process and review employment applications to evaluate qualifications or eligibility of applicants.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#2698 · Supplemental · 55% automatable
Inform job applicants of their acceptance or rejection of employment.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#2699 · Supplemental · 55% automatable
Select applicants meeting specified job requirements and refer them to hiring personnel.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#2701 · Supplemental · 55% automatable
Arrange for advertising or posting of job vacancies and notify eligible workers of position availability.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#2696 · Supplemental · 55% automatable
Request information from law enforcement officials, previous employers, and other references to determine applicants' employment acceptability.
information retrieval — Data gathering aided; verification and consent human
Obtain personal or financial information about customers or applicants.
#2704 · Supplemental · 55% automatable
Administer and score applicant and employee aptitude, personality, and interest assessment instruments.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#2703 · Supplemental · 45% automatable
Prepare badges, passes, and identification cards, and perform other security-related duties.
physical manipulation — ID issuance often physical and identity-verified
Issue documentation or identification to customers or employees.
#2700 · Supplemental · 40% automatable
Arrange for in-house and external training activities.
interpersonal — General personnel training is human-led and relational
Train personnel.
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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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