Headline risk
18%
Moderate RiskUpholsterers
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
Make, repair, or replace upholstery for household furniture or transportation vehicles.
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 46,190
Employment 2024
22.7K
Projected Change (2024–34)
-1.8%
Openings (2024–34)
2.2K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Fit, install, and secure material on frames, using hand tools, power tools, glue, cement, or staples. AI use: 0%
- 2. Build furniture up with loose fiber stuffing, cotton, felt, or foam padding to form smooth, rounded surfaces. AI use: 0%
- 3. Make, restore, or create custom upholstered furniture, using hand tools and knowledge of fabrics and upholstery methods. AI use: 0%
- 4. Attach fasteners, grommets, buttons, buckles, ornamental trim, and other accessories to covers or frames, using hand tools. AI use: 0%
- 5. Adjust or replace webbing, padding, or springs, and secure them in place. AI use: 0%
- 6. Measure and cut new covering materials, using patterns and measuring and cutting instruments, following sketches and design specifications. AI use: 0%
Technologies
Requirements
Work context
Related
No direct US role match is available yet for this occupation.
Source coverage
10/11 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.