Automation index
How much of a Maxillofacial surgeon’s job can AI already do?
A 3D osteotomy plan comes earlier. Cutting the jaw and getting the bite to fit do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Maxillofacial surgeon
21%
AI can already do 21% of this job.
#410 / 633
View rankingMaxillofacial surgeon
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 |
|---|---|---|---|
3D plan, splints and consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Osteotomies, facial trauma and implants.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cyst, impacted wisdom tooth and the joint.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Post-op, occlusion and the face that swells.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Head and neck oncology with the board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Facial emergencies and signing the bone that moves.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- osteotomy
- facial trauma
- zygomatic implants
- impacted wisdom teeth
- occlusion
- 3D maxillofacial plan
- jaw cysts
- head and neck
Sources for this job· O*NET 29-1022.00· ESCO/ISCO 2261
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514