AI Stole My Job

Will AI replace Forging Machine Setters, Operators, and Tenders, Metal and Plastic?

Estimated risk score: 11 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 30).

For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 51-4022.00 · 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 13 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: 12 of its 13 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Install, adjust, and remove dies, synchronizing cams, forging hammers, and stop guides, using overhead cranes or other hoisting devices, and hand tools.
  2. Position and move metal wires or workpieces through a series of dies that compress and shape stock to form die impressions.
  3. Remove dies from machines when production runs are finished.
  4. Repair, maintain, and replace parts on dies.
  5. Set up, operate, or tend presses and forging machines to perform hot or cold forging by flattening, straightening, bending, cutting, piercing, or other operations to taper, shape, or form metal.
  6. Start machines to produce sample workpieces, and observe operations to detect machine malfunctions and to verify that machine setups conform to specifications.

What the job is

Set up, operate, or tend forging machines to taper, shape, or form metal or plastic parts.

Also called: Forge Operator, Forger, Dropper, Expander, Knuckler, Upsetter, Cage Maker, Die Forger.

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