Will AI replace Dental Laboratory Technicians?
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 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9081.00 · 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: 0 of its 17 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: 16 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.
- Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth.
- Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatuses.
- Place tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model.
- Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines.
- Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers.
- Train or supervise other dental technicians or dental laboratory bench workers.
What the job is
Construct and repair full or partial dentures or dental appliances.
Also called: Dental Ceramist, Dental Technician (Dental Tech), Denture Technician (Denture Tech), Dental Laboratory Technician (Dental Lab Tech), CDT, CAM Tech, Ceramist, Ortho Tech.
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