Will AI replace Cutters and Trimmers, Hand?
Estimated risk score: 6 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 25).
For the occupation as a whole, from ratings of its 18 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9031.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 18 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 18 of its 18 rated tasks; the first 6 are shown. In O*NET’s words.
- 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.
- Fold or shape materials before or after cutting them.
- Mark cutting lines around patterns or templates, or follow layout points, using squares, rules, and straightedges, and chalk, pencils, or scribes.
- Mark identification numbers, trademarks, grades, marketing data, sizes, or model numbers on products.
- Mark or discard items with defects such as spots, stains, scars, snags, chips, scratches, or unacceptable shapes or finishes.
- Position templates or measure materials to locate specified points of cuts or to obtain maximum yields, using rules, scales, or patterns.
What the job is
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.
Also called: Offline Cutter, Dinker, Pearler, Scarrer, Diagrammer, Hand Coper, Mat Cutter, Mica Sizer.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate