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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635