Human Resources Specialists
of tasks in the Human Resources Specialists role are ones AI can already do, per AI experts.
From a Stanford study where AI experts and human resources specialists workers rated each real task (O*NET). Not a guess from the job title.
Key statistics
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- AI can already do 45% of the 11 work tasks in the Human Resources Specialists role, according to AI experts in the Stanford WORKBank study (O*NET SOC 13-1071.00).
- Workers in the Human Resources Specialists role want about 27% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
- 3 of 11 Human Resources Specialists tasks are Automation Green Light, wanted by workers and do-able by AI, that is 27% of the role (Stanford WORKBank).
- The typical Human Resources Specialists task scores 2.65/5 for worker desire to automate and 3.3/5 for AI capability today (Stanford WORKBank, 1-5 scale).
- The Human Resources Specialists role (O*NET SOC 13-1071.00) has a median U.S. wage of $79,730 and about 917,460 people employed (U.S. O*NET / BLS).
Top tasks to automate
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- Analyze employment-related data and prepare required reports.
- Review and evaluate applicant qualifications or eligibility for specified licensing, according to established guidelines and designated licensing codes.
- Review employment applications and job orders to match applicants with job requirements.
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What workers told Stanford
Of the 11 tasks studied for Human Resources Specialists, 3 (27%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 27% automated. The typical task scores 2.65/5 for worker desire and 3.3/5 for AI capability.
All 11 tasks, most-wanted first
Analyze employment-related data and prepare required reports.
Green Lightwant 3.1 · AI 4Review and evaluate applicant qualifications or eligibility for specified licensing, according to established guidelines and designated licensing codes.
Green Lightwant 3 · AI 4Review employment applications and job orders to match applicants with job requirements.
Green Lightwant 3 · AI 3.5Perform searches for qualified job candidates, using sources such as computer databases, networking, Internet recruiting resources, media advertisements, job fairs, recruiting firms, or employee referrals.
Low Prioritywant 2.9 · AI 3Hire employees and process hiring-related paperwork.
Low Prioritywant 2.9 · AI 2.75Prepare or maintain employment records related to events, such as hiring, termination, leaves, transfers, or promotions, using human resources management system software.
Red Lightwant 2.8 · AI 4Contact job applicants to inform them of the status of their applications.
Red Lightwant 2.5 · AI 5Schedule or administer skill, intelligence, psychological, or drug tests for current or prospective employees.
Low Prioritywant 2.44 · AI 2Conduct reference or background checks on job applicants.
Low Prioritywant 2.4 · AI 3Administer employee benefit plans.
Low Prioritywant 2.14 · AI 2Inform job applicants of details such as duties and responsibilities, compensation, benefits, schedules, working conditions, or promotion opportunities.
Low Prioritywant 2 · AI 3
Related occupations
Other Business and Financial Operations roles in the Stanford WORKBank study, closest AI-capability share first.
- Training and Development SpecialistsAI can do 40% of tasks today · workers want 70% automated
- FundraisersAI can do 50% of tasks today · workers want 80% automated
- Purchasing Agents, Except Wholesale, Retail, and Farm ProductsAI can do 56% of tasks today · workers want 44% automated
- Financial ExaminersAI can do 33% of tasks today · workers want 67% automated
- Credit CounselorsAI can do 33% of tasks today · workers want 33% automated
- Logistics AnalystsAI can do 63% of tasks today · workers want 31% automated
Lower-automation alternatives
Less of these jobs is automatable today: AI experts rate a smaller share of their tasks as doable than the 45% for Human Resources Specialists (Stanford WORKBank).