Headline risk
18%
Moderate RiskModel makers, wood
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
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
Construct full-size and scale wooden precision models of products. Includes wood jig builders and loft workers.
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 51,850
Employment 2024
0.9K
Projected Change (2024–34)
-4.5%
Openings (2024–34)
0.1K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Read blueprints, drawings, or written specifications, and consult with designers to determine sizes and shapes of patterns and required machine setups. AI use: 0%
- 2. Verify dimensions and contours of models during hand-forming processes, using templates and measuring devices. AI use: 0%
- 3. Fit, fasten, and assemble wood parts together to form patterns, models, or sections, using glue, nails, dowels, bolts, screws, and other fasteners. AI use: 0%
- 4. Trim, smooth, and shape surfaces, and plane, shave, file, scrape, and sand models to attain specified shapes, using hand tools. AI use: 0%
- 5. Set up, operate, and adjust a variety of woodworking machines such as bandsaws and planers to cut and shape sections, parts, and patterns, according to specifications. AI use: 0%
- 6. Construct wooden models, patterns, templates, full scale mock-ups, and molds for parts of products and production tools. 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
Mapping quality
major_group_fallback · 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.