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.
#372 / 633
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?
Logistics analyst
28%
#79 / 633
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421