Headline risk
26%
Moderate RiskCounter and rental clerks
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
Receive orders, generally in person, for repairs, rentals, and services. May describe available options, compute cost, and accept payment.
Task evidence
100% weighted task match · 24% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 38,540
Employment 2024
408.2K
Projected Change (2024–34)
3.2%
Openings (2024–34)
45.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Compute charges for merchandise or services and receive payments. AI use: 0%
- 2. Answer telephones to provide information and receive orders. AI use: 0%
- 3. Greet customers and discuss the type, quality, and quantity of merchandise sought for rental. AI use: 0%
- 4. Receive orders for services, such as rentals, repairs, dry cleaning, and storage. AI use: 0%
- 5. Advise customers on use and care of merchandise. AI use: 100%
- 6. Provide information about rental items, such as availability, operation, or description. AI use: 97%
Technologies
Requirements
Work context
Worker profile
Median age 36.3 · 73K employed
Under 25: 30% · 25–54: 52% · 55+: 18%
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.