Will AI replace Slaughterers and Meat Packers?
Estimated risk score: 4 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 23).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-3023.00 · 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: 0 of its 15 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 15 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal.
- Grind meat into hamburger, and into trimmings used to prepare sausages, luncheon meats, and other meat products.
- Remove bones, and cut meat into standard cuts in preparation for marketing.
- Saw, split, or scribe carcasses into smaller portions to facilitate handling.
- Sever jugular veins to drain blood and facilitate slaughtering.
- Shackle hind legs of animals to raise them for slaughtering or skinning.
What the job is
Perform nonroutine or precision functions involving the preparation of large portions of meat. Work may include specialized slaughtering tasks, cutting standard or premium cuts of meat for marketing, making sausage, or wrapping meats. Work typically occurs in slaughtering, meat packing, or wholesale establishments.
Also called: Meat Processor, Boning Room Worker, Bitter, Brainer, Poleman, Saw Man, Scriber, Shactor.
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