AI Stole My Job

Will AI replace Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic?

Estimated risk score: 9 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 28).

For the occupation as a whole, from ratings of its 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 51-4032.00 · 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 17 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: 16 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Change worn cutting tools, using wrenches.
  2. Establish zero reference points on workpieces, such as at the intersections of two edges or over hole locations.
  3. Install tools in spindles.
  4. Lay out reference lines and machining locations on work, using layout tools, and applying knowledge of shop math and layout techniques.
  5. Lift workpieces onto work tables either manually or with hoists or direct crane operators to lift and position workpieces.
  6. Move machine controls to lower tools to workpieces and to engage automatic feeds.

What the job is

Set up, operate, or tend drilling machines to drill, bore, ream, mill, or countersink metal or plastic work pieces.

Also called: Drill Setup Operator, Reamer, Hub Borer, Dice Maker, PCB Pinner, Recenterer, Spot Facer, Wheel Borer.

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