Will AI replace Painters, Construction and Maintenance?
Estimated risk score: 11 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 30).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2141.00 · 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 19 rated tasks. In O*NET’s words.
- Calculate amounts of required materials and estimate costs, based on surface measurements or work orders.
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 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply paint, stain, varnish, enamel, or other finishes to equipment, buildings, bridges, or other structures, using brushes, spray guns, or rollers.
- Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats.
- Cover surfaces with dropcloths or masking tape and paper to protect surfaces during painting.
- Cut stencils and brush or spray lettering or decorations on surfaces.
- Erect scaffolding or swing gates, or set up ladders, to work above ground level.
- Fill cracks, holes, or joints with caulk, putty, plaster, or other fillers, using caulking guns or putty knives.
What the job is
Paint walls, equipment, buildings, bridges, and other structural surfaces, using brushes, rollers, and spray guns. May remove old paint to prepare surface prior to painting. May mix colors or oils to obtain desired color or consistency.
Also called: Maintenance Painter, Building Trades Painter, Texturer, Calciminer, Kalsominer, Roof Painter, Silo Painter, House Painter.
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