Headline risk
14%
Low RiskProtective service workers, all other
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
All protective service workers not listed separately.
Task evidence
100% weighted task match · 9% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 41,600
Employment 2024
84.0K
Projected Change (2024–34)
2.5%
Openings (2024–34)
23.3K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Investigate known or suspected internal theft, external theft, or vendor fraud. AI use: 0%
- 2. Implement or monitor processes to reduce property or financial losses. AI use: 0%
- 3. Maintain documentation or reports on security-related incidents or investigations. AI use: 0%
- 4. Identify and report merchandise or stock shortages. AI use: 0%
- 5. Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks. AI use: 0%
- 6. Identify and report safety concerns to maintain a safe shopping and working environment. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 21.2 · 194K employed
Under 25: 78% · 25–54: 18% · 55+: 4%
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
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.