Stole My Job
Stole My Job
Methodology

Will AI replace Potters, Manufacturing?

10

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 29).

For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 51-9195.05 · Production

Try:Customer Support Rep 89Graphic Designer 81Financial Analyst 72Truck Driver 55Therapist / Counselor 38Electrician 12

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 24 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: 20 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Adjust wheel speeds according to the feel of the clay as pieces enlarge and walls become thinner.
  2. Attach handles to pottery pieces.
  3. Mix and apply glazes to pottery pieces, using tools, such as spray guns.
  4. Move pieces from wheels so that they can dry.
  5. Operate gas or electric kilns to fire pottery pieces.
  6. Operate pug mills to blend and extrude clay.

What the job is

Operate production machines such as pug mill, jigger machine, or potter's wheel to process clay in manufacture of ceramic, pottery and stoneware products.

Also called: Potter, Jiggerman, Production Potter, Pot Maker, Kiln Worker, Jigger Artisan, Pugmill Operator, Manufacturing Potter.

Related jobs, estimated

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