Headline risk
19%
Moderate RiskCutters and trimmers, hand
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
Use hand tools or hand-held power tools to cut and trim a variety of manufactured items, such as carpet, fabric, stone, glass, or rubber.
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 38,800
Employment 2024
7.0K
Projected Change (2024–34)
-18.1%
Openings (2024–34)
0.6K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Mark or discard items with defects such as spots, stains, scars, snags, chips, scratches, or unacceptable shapes or finishes. AI use: 0%
- 2. Cut, shape, and trim materials, such as textiles, food, glass, stone, and metal, using knives, scissors, and other hand tools, portable power tools, or bench-mounted tools. AI use: 0%
- 3. Mark cutting lines around patterns or templates, or follow layout points, using squares, rules, and straightedges, and chalk, pencils, or scribes. AI use: 0%
- 4. Trim excess material or cut threads off finished products, such as cutting loose ends of plastic off a manufactured toy for a smoother finish. AI use: 0%
- 5. Position templates or measure materials to locate specified points of cuts or to obtain maximum yields, using rules, scales, or patterns. AI use: 0%
- 6. Read work orders to determine dimensions, cutting locations, and quantities to cut. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 36.4 · 582K employed
Under 25: 28% · 25–54: 54% · 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
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.