Will AI replace Segmental Pavers?
Estimated risk score: 9 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 28).
For the occupation as a whole, from ratings of its 12 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-4091.00 · 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 12 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: 11 of its 12 rated tasks; the first 6 are shown. In O*NET’s words.
- Cement the edges of the paved area.
- Compact bedding sand and pavers to finish the paved area, using a plate compactor.
- Cut paving stones to size and for edges, using a splitter and a masonry saw.
- Prepare base for installation by removing unstable or unsuitable materials, compacting and grading the soil, draining or stabilizing weak or saturated soils and taking measures to prevent water penetration and migration of bedding sand.
- Resurface an outside area with cobblestones, terracotta tiles, concrete or other materials.
- Screed sand level to an even thickness, and recheck sand exposed to elements, raking and rescreeding if necessary.
What the job is
Lay out, cut, and place segmental paving units. Includes installers of bedding and restraining materials for the paving units.
Also called: Paver, Paver Installer, Paving Stone Installer, Paver Layer, Concrete Paver, Paving Laborer, Slab Installer, Asphalt Foreman.
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