Headline risk
30%
High RiskFirst-line supervisors of police and detectives
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Weighted task overlap from O*NET
Median annual from BLS OEWS
BLS employment projections
O*NET job zone level
Occupation profile
Directly supervise and coordinate activities of members of police force.
Task evidence
100% weighted task match · 0% effective coverage
Method contract
structural_pressure = exposure × (1 - bottleneck)
headline_risk = structural_pressure × (1 - country_demand_resilience)
United States Now
Median Wage
USD 105,980
Employment 2024
160.8K
Projected Change
2.9%
Openings
10.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Explain police operations to subordinates to assist them in performing their job duties. AI 0%
- 2. Inform personnel of changes in regulations and policies, implications of new or amended laws, and new techniques of police work. AI 0%
- 3. Prepare work schedules and assign duties to subordinates. AI 0%
- 4. Maintain logs, prepare reports, and direct the preparation, handling, and maintenance of departmental records. AI 0%
- 5. Supervise and coordinate the investigation of criminal cases, offering guidance and expertise to investigators, and ensuring that procedures are conducted in accordance with laws and regulations. AI 0%
- 6. Direct collection, preparation, and handling of evidence and personal property of prisoners. AI 0%
Technologies
Requirements
Work context
Worker profile
Median age 49.5 · 107K employed
Under 25: 0% · 25–54: 77% · 55+: 23%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
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.