Will AI replace Etchers and Engravers?
AI reaches little of this job’s work.
4/100
Low exposure
More exposed to AI than 10% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 7% of the work
What the job involves
Engrave or etch metal, wood, rubber, or other materials. Includes such workers as etcher-circuit processors, pantograph engravers, and silk screen etchers.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Use computer software to design patterns for engraving.
- Sketch, trace, or scribe layout lines and designs on workpieces, plates, dies, or rollers, using compasses, scribers, gravers, or pencils.
Out of reach(24)
- Inspect etched work for depth of etching, uniformity, and defects, using calibrated microscopes, gauges, fingers, or magnifying lenses.
- Examine sketches, diagrams, samples, blueprints, or photographs to decide how designs are to be etched, cut, or engraved onto workpieces.
- Examine engraving for quality of cut, burrs, rough spots, and irregular or incomplete engraving.
- Print proofs or examine designs to verify accuracy of engraving, and rework engraving as required.
- Measure and compute dimensions of lettering, designs, or patterns to be engraved.
and 19 more
Also called
Engraver · Etcher · Laser Engraver · Glass Etcher · Machine Engraver · Roller Engraver · Rubber Engraver · Seals Engraver
Related jobs
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