Will AI replace Packers and Packagers, Hand?
Estimated risk score: 16 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 35).
For the occupation as a whole, from ratings of its 12 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 53-7064.00 · 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 12 rated tasks. In O*NET’s words.
- Record product, packaging, and order information on specified forms and records.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 11 of its 12 rated tasks; the first 6 are shown. In O*NET’s words.
- Assemble, line, and pad cartons, crates, and containers, using hand tools.
- Clean containers, materials, supplies, or work areas, using cleaning solutions and hand tools.
- Mark and label containers, container tags, or products, using marking tools.
- Measure, weigh, and count products and materials.
- Obtain, move, and sort products, materials, containers, and orders, using hand tools.
- Seal containers or materials, using glues, fasteners, nails, and hand tools.
What the job is
Pack or package by hand a wide variety of products and materials.
Also called: Packager, Selector Packer, Tier, Bulker, Crater, Linker, Prizer, Inserter.
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