Will AI replace Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons?
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 11 of its tasks are rated.
For the occupation as a whole, from ratings of its 11 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-3014.00 · 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 11 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 11 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes.
- Clean work areas and equipment.
- Erect scaffolding.
- Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds.
- Perform support duties to assist painters, paperhangers, plasterers, or masons.
- Supply or hold tools and materials.
What the job is
Help painters, paperhangers, plasterers, or stucco masons by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.
Also called: Painter Helper, Plaster Helper, Plaster Tender, Mason's Tender, Shipyard Helper, Plasterer Tender, Painter Assistant, Scaffolding Helper.
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