Headline risk
20%
Moderate RiskRecruiter
This page reuses the same role shell as Singapore, but the component occupations are mapped onto the United States layer so the score, context, and support bundle reflect US public evidence.
Why this score
84% of tasks overlap with current AI
61% human advantage from judgment & presence
87% demand buffer from the local labour market
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Weighted overlap across component occupations
Human coordination and physical presence protection
Blended local-market buffer for this role
Component coverage and mapping quality
Workflow profile
Heuristic workflow context blended from the role mix. This explains the score; it is not used as a direct local-market forecast.
Workflow dimensions (0 = low, 1 = high)
United States support
Evidence bundle
Weighted task overlap from O*NET statements and Anthropic penetration
Median annual wage from BLS OEWS
Employment projections and openings from BLS
Preparation and entry requirements from O*NET and BLS
Support snapshot
Job zone
4The occupation usually needs substantial preparation and experience.
Median wage
USD 72,910USD 55,870 to USD 97,270
Openings
81.8K6.2% projected change
Median age
42.0897K employed
Occupation profile
Recruit, screen, interview, or place individuals within an organization. May perform other activities in multiple human resources areas.
Job Zone 4 · Moderate preparation
The occupation usually needs substantial preparation and experience.
Task primitives
Matched task weight share: 100% · Effective coverage: 34%
Concentration: 12%
Wage context
Median annual
USD 72,910
Mean annual
USD 79,730
Hourly median: USD 35
Employment: 917,460 workers
10th percentile: USD 45,440
90th percentile: USD 126,540
Demand outlook
2024 employment
944.3K
2034 employment
1002.7K
Openings: 81.8K
Projected change: 6.2%
Education: Bachelor's degree
Work experience: None
On-the-job training: None
Median wage in projections: USD 72,910
Employment of human resources specialists is projected to grow 6 percent from 2024 to 2034, faster than the average for all occupations.
Requirements and friction
Telework: 50.1% · Telework: 49.9% · Credentials: 1.7%
Narrative and skills
Human resources specialists recruit, screen, and interview job applicants and place newly hired workers in jobs. They also may handle compensation and benefits, training, and employee relations.
Human resources specialists generally work in office settings. Some, particularly recruitment specialists, travel to attend job fairs, visit college campuses, and meet with applicants. Most human resources specialists work full time during regular business hours. Some work more than 40 hours per week.
To enter the occupation, human resources specialists typically need a bachelor’s degree in human resources, business, or a related field.
The median annual wage for human resources specialists was $72,910 in May 2024.
Employment of human resources specialists is projected to grow 6 percent from 2024 to 2034, faster than the average for all occupations.
Jobs: 944,300
Median pay: USD 72,910
Employment outlook: Employment of human resources specialists is projected to grow 6 percent from 2024 to 2034, faster than the average for all occupations.
Openings: 58,400
Tasks and tools
- 1. Interpret and explain human resources policies, procedures, laws, standards, or regulations. · AI use 79%
- 2. Maintain current knowledge of Equal Employment Opportunity (EEO) and affirmative action guidelines and laws, such as the Americans with Disabilities Act (ADA). · AI use 0%
- 3. Review employment applications and job orders to match applicants with job requirements. · AI use 94%
- 4. Select qualified job applicants or refer them to managers, making hiring recommendations when appropriate. · AI use 93%
- 5. Hire employees and process hiring-related paperwork. · AI use 0%
- 6. Inform job applicants of details such as duties and responsibilities, compensation, benefits, schedules, working conditions, or promotion opportunities. · AI use 0%
Work context
- E-Mail: 5.0/5
- Telephone Conversations: 5.0/5
- Face-to-Face Discussions with Individuals and Within Teams: 4.9/5
- Indoors, Environmentally Controlled: 4.9/5
- Contact With Others: 4.8/5
- Work With or Contribute to a Work Group or Team: 4.7/5
Tech density
6/6
6 hot · 6 in demand
Work pace
4.9/5
Average of the strongest work-context signals.
Worker profile
Median age: 42.0
Total employed: 897K · Under 25: 4% · 25 to 54: 78% · 55+: 18%
Support note
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.
Source vintage
O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
Human resources specialists
13-1071 · 50% weight
Executive search consultant
Support bundle: Moderate preparation
Human resources specialists
13-1071 · 30% weight
Personnel/Human resource officer
Support bundle: Moderate preparation
Human resources specialists
13-1071 · 20% weight
Human resource consultant
Support bundle: Moderate preparation
Methodology
Shared spine
structural_pressure = exposure × (1 - bottleneck)
Country layer
headline_risk = structural_pressure × (1 - country_demand_resilience)
Published limitations
This is a synthetic role view built from mapped occupations. It reuses the same shell and visual components as the Singapore role pages, but only the US sources that actually exist are rendered here.