Will AI replace Human Resources Managers?
Work in Human Resources Managers sits in the in-between: AI reaches some of it (~48% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 11-3121
How your 24 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~48%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~48%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 24 tasks, ratedBased on real task-level AI scores — click to collapse
- Conduct exit interviews to identify reasons for employee termination.
- Serve as a link between management and employees by handling questions, interpreting and administering contracts and helping resolve work-related problems.
- Advise managers on organizational policy matters, such as equal employment opportunity and sexual harassment, and recommend needed changes.
- Analyze and modify compensation and benefits policies to establish competitive programs and ensure compliance with legal requirements.
- Perform difficult staffing duties, including dealing with understaffing, refereeing disputes, firing employees, and administering disciplinary procedures.
- Negotiate bargaining agreements and help interpret labor contracts.
- Identify staff vacancies and recruit, interview, and select applicants.
- Plan, direct, supervise, and coordinate work activities of subordinates and staff relating to employment, compensation, labor relations, and employee relations.
- Prepare personnel forecast to project employment needs.
- Provide current and prospective employees with information about policies, job duties, working conditions, wages, opportunities for promotion, and employee benefits.
- Investigate and report on industrial accidents for insurance carriers.
- Administer compensation, benefits, and performance management systems, and safety and recreation programs.
- Analyze statistical data and reports to identify and determine causes of personnel problems and develop recommendations for improvement of organization's personnel policies and practices.
- Plan, organize, direct, control, or coordinate the personnel, training, or labor relations activities of an organization.
- Allocate human resources, ensuring appropriate matches between personnel.
- Oversee the evaluation, classification, and rating of occupations and job positions.
- Analyze training needs to design employee development, language training, and health and safety programs.
- Study legislation, arbitration decisions, and collective bargaining contracts to assess industry trends.
- Maintain records and compile statistical reports concerning personnel-related data such as hires, transfers, performance appraisals, and absenteeism rates.
- Prepare and follow budgets for personnel operations.
- Develop, administer, and evaluate applicant tests.
- Develop or administer special projects in areas such as pay equity, savings bond programs, day care, and employee awards.
- Represent organization at personnel-related hearings and investigations.
- Plan and conduct new employee orientation to foster positive attitude toward organizational objectives.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.