Headline risk
1%
Very Low RiskMerchandise displayers and window trimmers
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
Plan and erect commercial displays, such as those in windows and interiors of retail stores and at trade exhibitions.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 37,350
Employment 2024
193.0K
Projected Change (2024–34)
3.2%
Openings (2024–34)
20.8K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Change or rotate window displays, interior display areas, or signage to reflect changes in inventory or promotion. AI use: 0%
- 2. Place prices or descriptive signs on backdrops, fixtures, merchandise, or floor. AI use: 0%
- 3. Consult with store managers, buyers, sales associates, housekeeping staff, or engineering staff to determine appropriate placement of displays or products. AI use: 0%
- 4. Plan commercial displays to entice and appeal to customers. AI use: 0%
- 5. Assemble or set up displays, furniture, or products in store space, using colors, lights, pictures, or other accessories to display the product. AI use: 0%
- 6. Arrange properties, furniture, merchandise, backdrops, or other accessories, as shown in prepared sketches. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 36.9 · 101K employed
Under 25: 18% · 25–54: 68% · 55+: 13%
Related
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.