Will AI replace Helpers--Production Workers?
Estimated risk score: 13 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 32).
For the occupation as a whole, from ratings of its 34 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9198.00 · 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: 3 of its 34 rated tasks. In O*NET’s words.
- Read gauges or charts, and record data obtained.
- Record information, such as the number of products tested, meter readings, or dates and times of product production.
- Count finished products to determine if product orders are complete.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 29 of its 34 rated tasks; the first 6 are shown. In O*NET’s words.
- Help production workers by performing duties of lesser skill, such as supplying or holding materials or tools, or cleaning work areas and equipment.
- Lift raw materials, finished products, and packed items, manually or using hoists.
- Load and unload items from machines, conveyors, and conveyances.
- Operate machinery used in the production process, or assist machine operators.
- Pack and store materials and products.
- Place products in equipment or on work surfaces for further processing, inspecting, or wrapping.
What the job is
Help production workers by performing duties requiring less skill. Duties include supplying or holding materials or tools, and cleaning work area and equipment.
Also called: Press Helper, Bedder, Briner, Raveler, Reverser, Scrapper, Shrouder, Bag Liner.
Related jobs, estimated
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