Will AI replace Rock Splitters, Quarry?
Estimated risk score: 4 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 23).
Low confidence: only 9 of its tasks are rated.
For the occupation as a whole, from ratings of its 9 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-5051.00 · Construction and Extraction
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 9 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: 8 of its 9 rated tasks; the first 6 are shown. In O*NET’s words.
- Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses.
- Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines.
- Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools.
- Cut grooves along outlines, using chisels.
- Cut slabs of stone into sheets that will be used for floors or counters.
- Drill holes along outlines, using jackhammers.
What the job is
Separate blocks of rough dimension stone from quarry mass using jackhammers, wedges, or chop saws.
Also called: Quarry Worker, Rock Picker, Rock Breaker, Quarry Driller, Sandstone Splitter, Quarrying Specialist, Quarry Chop Saw Operator, Quarry Plug and Feather Driller.
Closest jobs we score by hand
In the same field (Construction and Extraction). Different jobs, each scored by a person.
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