AI Stole My Job

Will AI replace Cutting and Slicing Machine Setters, 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 28 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 51-9032.00 · 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 28 rated tasks. In O*NET’s words.

  1. Maintain production records, such as quantities, types, and dimensions of materials produced.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 26 of its 28 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Adjust machine controls to alter position, alignment, speed, or pressure.
  2. Clean and lubricate cutting machines, conveyors, blades, saws, or knives, using steam hoses, scrapers, brushes, or oil cans.
  3. Feed stock into cutting machines, onto conveyors, or under cutting blades, by threading, guiding, pushing, or turning handwheels.
  4. Move stock or scrap to and from machines manually, or by using carts, handtrucks, or lift trucks.
  5. Position stock along cutting lines, or against stops on beds of scoring or cutting machines.
  6. Press buttons, pull levers, or depress pedals to start and operate cutting and slicing machines.

What the job is

Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material.

Also called: Paper Cutter, Foxer, Beater, Mooner, Pinker, Clicker, Saddler, Shearer.

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