Will AI replace Grinding and Polishing Workers, Hand?
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 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9022.00 · 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 20 rated tasks. In O*NET’s words.
- Record product and processing data on specified forms.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 19 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Grind, sand, clean, or polish objects or parts to correct defects or to prepare surfaces for further finishing, using hand tools and power tools.
- Move controls to adjust, start, or stop equipment during grinding and polishing processes.
- Remove completed workpieces from equipment or work tables, using hand tools, and place workpieces in containers.
- Repair and maintain equipment, objects, or parts, using hand tools.
- Transfer equipment, objects, or parts to specified work areas, using moving devices.
- Trim, scrape, or deburr objects or parts, using chisels, scrapers, and other hand tools and equipment.
What the job is
Grind, sand, or polish, using hand tools or hand-held power tools, a variety of metal, wood, stone, clay, plastic, or glass objects. Includes chippers, buffers, and finishers.
Also called: Bit Shaver, Hand Edger, Deburr Hand, Glass Edger, Hand Buffer, Hand Reamer, Hand Stoner, Pipe Buffer.
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