Will AI replace Stonemasons?
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).
For the occupation as a whole, from ratings of its 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2022.00 · 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 17 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: 17 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean excess mortar or grout from surface of marble, stone, or monument, using sponge, brush, water, or acid.
- Construct and install prefabricated masonry units.
- Drill holes in marble or ornamental stone and anchor brackets in holes.
- Lay brick to build shells of chimneys and smokestacks or to line or reline industrial furnaces, kilns, boilers and similar installations.
- Lay out wall patterns or foundations, using straight edge, rule, or staked lines.
- Mix mortar or grout and pour or spread mortar or grout on marble slabs, stone, or foundation.
What the job is
Build stone structures, such as piers, walls, and abutments. Lay walks, curbstones, or special types of masonry for vats, tanks, and floors.
Also called: Stone Derrickman, Rock Mason, Stone Layer, Stone Mason, Stone Paver, Banker Mason, Granite Setter, Mason Mechanic.
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