Will AI replace Terrazzo Workers and Finishers?
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 26 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2053.00 · 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 26 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: 26 of its 26 rated tasks; the first 6 are shown. In O*NET’s words.
- Blend marble chip mixtures, place into panels, and push a roller over the surface to embed the chips.
- Chip, scrape, or grind high spots, ridges, or rough projections to finish concrete, using pneumatic chisel, hand chisel, or other hand tools.
- Clean chipped area, using wire brush, and feel and observe surface to determine if it is rough or uneven.
- Clean installation site, mixing and storage areas, tools, machines, and equipment, and store materials and equipment.
- Cut metal division strips and press them into the terrazzo base for joints or changes of color to form designs or patterns or to help prevent cracks.
- Fill slight grinding depressions with matching grout material and hand-trowel for a smooth, uniform surface.
What the job is
Apply a mixture of cement, sand, pigment, or marble chips to floors, stairways, and cabinet fixtures to fashion durable and decorative surfaces.
Also called: Terrazzo Worker, Terrazzo Finisher, Terrazzo Installer, Terrazzo Tile Setter, Coat Agent, Buildmaster, Build Master, Terrazzo Layer.
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