Headline risk
22%
Moderate RiskLayout workers, metal and plastic
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
Lay out reference points and dimensions on metal or plastic stock or workpieces, such as sheets, plates, tubes, structural shapes, castings, or machine parts, for further processing. Includes shipfitters.
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 61,870
Employment 2024
5.7K
Projected Change (2024–34)
-5.4%
Openings (2024–34)
0.5K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Mark curves, lines, holes, dimensions, and welding symbols onto workpieces, using scribes, soapstones, punches, and hand drills. AI use: 0%
- 2. Fit and align fabricated parts to be welded or assembled. AI use: 0%
- 3. Compute layout dimensions, and determine and mark reference points on metal stock or workpieces for further processing, such as welding and assembly. AI use: 0%
- 4. Plan locations and sequences of cutting, drilling, bending, rolling, punching, and welding operations, using compasses, protractors, dividers, and rules. AI use: 0%
- 5. Lift and position workpieces in relation to surface plates, manually or with hoists, and using parallel blocks and angle plates. AI use: 0%
- 6. Lay out and fabricate metal structural parts such as plates, bulkheads, and frames. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 44.5 · 307K employed
Under 25: 7% · 25–54: 67% · 55+: 27%
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.