Automation index
How much of a Dental technician’s job can AI already do?
A scan and a first design come earlier. A tooth that actually occludes does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dental technician
22%
AI can already do 22% of this job.
#381 / 643
View rankingDental technician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Scan, design and nest the prosthesis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Wax, cast, mill and stain.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Try-in with the dentist.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Orders, deadlines and lab charts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Fit, occlusion and remakes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Dust, oven and not delivering a crooked tooth.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Scan, design and nest the prosthesis
- Wax, cast, mill and stain
- Try-in with the dentist
- Orders, deadlines and lab charts
- Fit, occlusion and remakes
- protesico dental
- dental technician
Sources for this job· O*NET 51-9081.00· ESCO/ISCO 3214
IS WORK OVER?
Epidemiologist
31%
#34 / 643
View rankingEpidemiologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263