SOC 43-4161

Human Resources Assistants, Except Payroll and Timekeeping AI displacement risk

Personnel record maintenance, application processing, and routine policy answers are exposed to HR automation and employee self-service. Applicant screening judgment, sensitive documentation handling, and benefits guidance keep a human layer.

Exposure76

Share and intensity of work current AI systems can materially affect.

Automation52%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandHigh

Self-service portals absorb the routine queries first. Assistants who support investigations, onboarding exceptions, or compliance documentation change more slowly.

Distribution

Where Human Resources Assistants, Except Payroll and Timekeeping sits across 620 tracked roles

Human Resources Assistants, Except Payroll and Timekeeping · 68050100

Displacement pressure 68 — higher than 92% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

19 O*NET task statements matched to SOC 43-4161. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $50,610 (May 2025, US national). The latest BLS row matched SOC 43-4161.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Human Resources Assistants, Except Payroll and Timekeeping

SOC 43-4161 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 68/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Human Resources Assistants, Except Payroll and Timekeeping

The current evidence import matched 19 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks19
SOC43-4161
  • Core task / ID 18572

    Process, verify, and maintain personnel related documentation, including staffing, recruitment, training, grievances, performance evaluations, classifications, and employee leaves of absence.

  • Core task / ID 2689

    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.

  • Core task / ID 2687

    Explain company personnel policies, benefits, and procedures to employees or job applicants.

  • Core task / ID 2702

    Provide assistance in administering employee benefit programs and worker's compensation plans.

  • Core task / ID 2691

    Answer questions regarding examinations, eligibility, salaries, benefits, and other pertinent information.

  • Core task / ID 21013

    Prepare and set up for new employee orientations.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

information

Process and review job applications

Exposure 82, automation 58%, augmentation 44%.

O*NET evidence: Process and review employment applications to evaluate qualifications or eligibility of... (ID 2690)

information

Maintain personnel records

Exposure 84, automation 64%, augmentation 30%.

O*NET evidence: Gather personnel records from other departments or employees. (ID 2693)

language

Explain policies and benefits

Exposure 58, automation 30%, augmentation 56%.

O*NET evidence: Explain company personnel policies, benefits, and procedures to employees or job applic... (ID 2687)

analytical

Screen and refer qualified applicants

Exposure 66, automation 40%, augmentation 58%.

O*NET evidence: Interview job applicants to obtain and verify information used to screen and evaluate t... (ID 2695)

TaskExposureAutomationAugmentation
Process and review job applications8258%44%
Maintain personnel records8464%30%
Explain policies and benefits5830%56%
Screen and refer qualified applicants6640%58%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

HR Coordinator

Training horizon: 2-5 months. Skill overlap 78. Wage preservation signal 112.

  • Own onboarding logistics
  • Audit HRIS data quality
  • Document process exceptions
High
adjacent role

Recruiting Coordinator

Training horizon: 2-4 months. Skill overlap 72. Wage preservation signal 108.

  • Manage interview scheduling loops
  • Track candidate pipeline stages
  • Practice candidate communication
High

Comparison guides

Compare the next move before you commit

What the AI risk score means for Human Resources Assistants, Except Payroll and Timekeeping

The displacement pressure score for Human Resources Assistants, Except Payroll and Timekeeping is 68. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Maintain personnel records carries 64% automation pressure, while Screen and refer qualified applicants carries 58% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $50,610 (May 2025, US national). Employment context: HR support role with document and screening exposure. Typical education: High school diploma or equivalent; some college common.

Wage vulnerability is 58, while transition feasibility is 70. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • High automation pressure on records work
  • Screening judgment still reviewed by humans
  • Coordination roles offer a bridge

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Human Resources Assistants, Except Payroll and Timekeeping, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

HRIS data accuracy

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Applicant screening

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Benefits basics

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Confidential record handling

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to HR Coordinator, such as own onboarding logistics.
  3. By 90 days, compare internal openings and external postings for HR Coordinator or Recruiting Coordinator and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Human Resources Assistants, Except Payroll and Timekeeping

Will AI replace Human Resources Assistants, Except Payroll and Timekeeping?

Personnel record maintenance, application processing, and routine policy answers are exposed to HR automation and employee self-service. Applicant screening judgment, sensitive documentation handling, and benefits guidance keep a human layer. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Human Resources Assistants, Except Payroll and Timekeeping work are most exposed to AI?

Maintain personnel records and Process and review job applications show the strongest automation pressure in this model. Screen and refer qualified applicants and Explain policies and benefits are better treated as AI-augmented work.

What should Human Resources Assistants, Except Payroll and Timekeeping learn next?

Start with HRIS data accuracy, Applicant screening, Benefits basics. The most practical adjacent paths in this model are HR Coordinator and Recruiting Coordinator.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail