Will AI replace Coating, Painting, and Spraying Machine Setters, Operators, and Tenders?
Estimated risk score: 12 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 31).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9124.00 · Production
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 30 rated tasks. In O*NET’s words.
- Record operational data on specified forms.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 28 of its 30 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply rust-resistant undercoats and caulk and seal seams.
- Attach hoses or nozzles to machines, using wrenches and pliers, and make adjustments to obtain the proper dispersion of spray.
- Buff and wax the finished paintwork.
- Clean equipment and work areas.
- Disassemble, clean, and reassemble sprayers or power equipment, using solvents, wire brushes, and cloths.
- Dispose of hazardous waste in an appropriate manner.
What the job is
Set up, operate, or tend spraying or rolling machines to coat or paint any of a wide variety of products, including glassware, cloth, ceramics, metal, plastic, paper, or wood, with lacquer, silver, copper, rubber, varnish, glaze, enamel, oil, or rust-proofing materials. Includes painters of transportation vehicles such as painters in auto body repair facilities.
Also called: Paint Technician (Paint Tech), Automotive Painter (Auto Painter), Dagger, Blacker, Bronzer, Browner, Colorman, Redipper.
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