Will AI replace Dental Laboratory Technicians?
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
Construct and repair full or partial dentures or dental appliances.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Place tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model.
Out of reach(16)
- Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed.
- Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth.
- Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers.
- Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatuses.
- Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines.
and 11 more
Also called
Dental Ceramist · Orthodontic Technician (Ortho Tech) · Ortho Tech · Ceramist · Dental Laboratory Technician (Dental Lab Tech) · Dental Technician (Dental Tech) · Crown and Bridge Technician (Crown and Bridge Tech) · Crown and Bridge Tech
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