Will AI replace Grinding and Polishing Workers, Hand?
AI reaches little of this job’s work.
6/100
Low exposure
More exposed to AI than 12% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 11% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Mark defects, such as knotholes, cracks, and splits, for repair.
- Record product and processing data on specified forms.
Out of reach(15)
- Grind, sand, clean, or polish objects or parts to correct defects or to prepare surfaces for further finishing, using hand tools and power tools.
- Load and adjust workpieces onto equipment or work tables, using hand tools.
- Verify quality of finished workpieces by inspecting them, comparing them to templates, measuring their dimensions, or testing them in working machinery.
- Trim, scrape, or deburr objects or parts, using chisels, scrapers, and other hand tools and equipment.
- Select files or other abrasives, according to materials, sizes and shapes of workpieces, amount of stock to be removed, finishes specified, and steps in finishing processes.
and 10 more
Also called
Polisher · Buffer · Chipper · Finisher · Jewelry Polisher · Dial Polisher · Filer · Glass Polisher
Related jobs
- Woodworking Machine Setters, Operators, and Tenders, Except Sawing3/100
- Tool Grinders, Filers, and Sharpeners0/100
- Molders, Shapers, and Casters, Except Metal and Plastic2/100
- Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic6/100
- Cutting and Slicing Machine Setters, Operators, and Tenders8/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics