Will AI replace Plasterers and Stucco Masons?
Estimated risk score: 6 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 25).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2161.00 · 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: 1 of its 15 rated tasks. In O*NET’s words.
- Determine materials needed to complete the job and place orders accordingly.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 14 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply coats of plaster or stucco to walls, ceilings, or partitions of buildings, using trowels, brushes, or spray guns.
- Apply insulation to building exteriors by installing prefabricated insulation systems over existing walls or by covering the outer wall with insulation board, reinforcing mesh, and a base coat.
- Apply weatherproof, decorative coverings to exterior surfaces of buildings, such as by troweling or spraying on coats of stucco.
- Clean and prepare surfaces for applications of plaster, cement, stucco, or similar materials, such as by drywall taping.
- Clean job sites.
- Cover surfaces such as windows, doors, or sidewalks to protect from splashing.
What the job is
Apply interior or exterior plaster, cement, stucco, or similar materials. May also set ornamental plaster.
Also called: Plasterer, Plaster Mechanic, Plaster Applicator, Plasterer Journeyman, Stucco Mason, Dry Plasterer, Stucco Worker, Mason Plasterer.
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