Will AI replace Helpers--Roofers?
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 18 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-3016.00 · 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 18 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: 18 of its 18 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply shingles, gravel, or asphalt over the top layer of tar to protect the roofing material.
- Attach roofing paper and composition shingles, using nails.
- Attach sheets of metal to roof boards or building frameworks when installing metal roofs.
- Check to ensure that completed roofs are watertight.
- Chop tar into small pieces, and heat chopped tar in kettles.
- Clean work areas and equipment.
What the job is
Help roofers by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.
Also called: Roofer Helper, Roofing Helper, Rooftop Loader, Roofer Assistant, Roofer Apprentice, Slate Roofer Helper, Hot Tar Roofer Helper, Shingles Roofer Helper.
Closest jobs we score by hand
In the same field (Construction and Extraction). Different jobs, each scored by a person.
Related jobs, estimated
- Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Settersestimate ±194Very low
- Helpers--Carpentersestimate ±194Very low
- Helpers--Painters, Paperhangers, Plasterers, and Stucco Masonsestimate ±19, low confidence4Very low
- Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfittersestimate ±194Very low
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