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Manufacturing & Production · Updated Aug 2026

Dental Laboratory Technicians

Construct and repair full or partial dentures or dental appliances.

JVS 2.0.0-phase4b
AI Exposure
61/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
56/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage87%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers.High
80
Apply porcelain paste or wax over prosthesis frameworks or setups, using brushes and spatulas.High
80
Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed.High
62
Build and shape wax teeth, using small hand instruments and information from observations or dentists' specifications.High
80
Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatuses.High
80
Mold wax over denture setups to form the full contours of artificial gums.High
80
Load newly constructed teeth into porcelain furnaces to bake the porcelain onto the metal framework.High
80
Prepare metal surfaces for bonding with porcelain to create artificial teeth, using small hand tools.High
77
Train or supervise other dental technicians or dental laboratory bench workers.High
77
Place tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model.High
45
Create a model of patient's mouth by pouring plaster into a dental impression and allowing plaster to set.High
60
Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines.High
24
Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth.High
18
Rebuild or replace linings, wire sections, or missing teeth to repair dentures.High
18
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers.80
  2. Apply porcelain paste or wax over prosthesis frameworks or setups, using brushes and spatulas.80
  3. Build and shape wax teeth, using small hand instruments and information from observations or dentists' specifications.80
  4. Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatuses.80
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth.01
  2. Rebuild or replace linings, wire sections, or missing teeth to repair dentures.02
  3. Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines.03
  4. Place tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model.04
  5. Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency54
Physical dependency46
Adoption pressure45
Labour-market resilience57
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →