Will AI replace Machine Feeders and Offbearers?
Estimated risk score: 17 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 36).
For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 53-7063.00 · Transportation and Material Moving
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 13 rated tasks. In O*NET’s words.
- Record production and operational data, such as amount of materials processed.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 12 of its 13 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.
- Fasten, package, or stack materials and products, using hand tools and fastening equipment.
- Load materials and products into machines and equipment, or onto conveyors, using hand tools and moving devices.
- Push dual control buttons and move controls to start, stop, or adjust machinery and equipment.
- Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks.
- Weigh or measure materials or products to ensure conformance to specifications.
What the job is
Feed materials into or remove materials from machines or equipment that is automatic or tended by other workers.
Also called: Offbearer, Machine Feeder, Layer, Taker, Doffer, Guider, Opener, Placer.
Closest jobs we score by hand
In the same field (Transportation and Material Moving). 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