Headline risk
24%
Moderate RiskCutters and trimmers, hand
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
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
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.