Will AI replace Packaging and Filling Machine Operators and Tenders?
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 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9111.00 · 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 20 rated tasks. In O*NET’s words.
- Count and record finished and rejected packaged items.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 19 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Adjust machine components and machine tension and pressure according to size or processing angle of product.
- Clean and remove damaged or otherwise inferior materials to prepare raw products for processing.
- Clean packaging containers, line and pad crates, or assemble cartons to prepare for product packing.
- Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides.
- Inspect and remove defective products and packaging material.
- Package the product in the form in which it will be sent out, for example, filling bags with flour from a chute or spout.
What the job is
Operate or tend machines to prepare industrial or consumer products for storage or shipment. Includes cannery workers who pack food products.
Also called: Packaging Operator, Canner, Capper, Carder, Corker, Nester, Labeler, Can Capper.
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