Dental Laboratory Technicians
HealthcareAI exposure
- Data source: BLSPublished: 2026-08
Low· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.18
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 90% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks only| Task | APIRaw / share % |
|---|---|
Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed.51-9081 | 0.0015100.0 |
| Not observed on any surface — 16 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth. | —0 |
Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers. | —0 |
Place tooth models on apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model. | —0 |
Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatus. | —0 |
Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines. | —0 |
Create a model of patient's mouth by pouring plaster into a dental impression and allowing plaster to set. | —0 |
Prepare metal surfaces for bonding with porcelain to create artificial teeth, using small hand tools. | —0 |
Load newly constructed teeth into porcelain furnaces to bake the porcelain onto the metal framework. | —0 |
Build and shape wax teeth, using small hand instruments and information from observations or dentists' specifications. | —0 |
Apply porcelain paste or wax over prosthesis frameworks or setups, using brushes and spatulas. | —0 |
Fill chipped or low spots in surfaces of devices, using acrylic resins. | —0 |
Prepare wax bite blocks and impression trays for use. | —0 |
Mold wax over denture setups to form the full contours of artificial gums. | —0 |
Train or supervise other dental technicians or dental laboratory bench workers. | —0 |
Rebuild or replace linings, wire sections, or missing teeth to repair dentures. | —0 |
Shape and solder wire and metal frames or bands for dental products, using soldering irons and hand tools. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed.O*NET Task ID 7133 | 0.5 |
Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth.O*NET Task ID 7134 | 0.0 |
Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers.O*NET Task ID 7135 | 0.0 |
Place tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model.O*NET Task ID 7136 | 0.0 |
Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatuses.O*NET Task ID 7137 | 0.0 |
Prepare metal surfaces for bonding with porcelain to create artificial teeth, using small hand tools.O*NET Task ID 7138 | 0.0 |
Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines.O*NET Task ID 7139 | 0.0 |
Create a model of patient's mouth by pouring plaster into a dental impression and allowing plaster to set.O*NET Task ID 7140 | 0.0 |
Load newly constructed teeth into porcelain furnaces to bake the porcelain onto the metal framework.O*NET Task ID 7141 | 0.0 |
Build and shape wax teeth, using small hand instruments and information from observations or dentists' specifications.O*NET Task ID 7142 | 0.0 |
Apply porcelain paste or wax over prosthesis frameworks or setups, using brushes and spatulas.O*NET Task ID 7143 | 0.0 |
Fill chipped or low spots in surfaces of devices, using acrylic resins.O*NET Task ID 7144 | 0.0 |
Prepare wax bite blocks and impression trays for use.O*NET Task ID 7145 | 0.0 |
Mold wax over denture setups to form the full contours of artificial gums.O*NET Task ID 7146 | 0.0 |
Train or supervise other dental technicians or dental laboratory bench workers.O*NET Task ID 7147 | 0.0 |
Rebuild or replace linings, wire sections, or missing teeth to repair dentures.O*NET Task ID 7148 | 0.0 |
Shape and solder wire and metal frames or bands for dental products, using soldering irons and hand tools.O*NET Task ID 7149 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page