Will AI replace Stone Cutters and Carvers, Manufacturing?
Estimated risk score: 10 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 29).
For the occupation as a whole, from ratings of its 16 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9195.03 · 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 16 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: 13 of its 16 rated tasks; the first 6 are shown. In O*NET’s words.
- Cut, shape, and finish rough blocks of building or monumental stone, according to diagrams or patterns.
- Drill holes and cut or carve moldings and grooves in stone, according to diagrams and patterns.
- Move fingers over surfaces of carvings to ensure smoothness of finish.
- Select chisels, pneumatic or surfacing tools, or sandblasting nozzles, and determine sequence of use.
- Shape, trim, or touch up roughed-out designs with appropriate tools to finish carvings.
- Verify depths and dimensions of cuts or carvings to ensure adherence to specifications, blueprints, or models, using measuring instruments.
What the job is
Cut or carve stone according to diagrams and patterns.
Also called: Stone Cutter, Chiseler, Foot Caster, Stoneworker, Vault Maker, Marble Carver, Marble Cutter, Statue Carver.
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