Automation index
How much of a Plastic surgeon’s job can AI already do?
A morph and a consent form come earlier. Cutting, stitching and not getting necrosis do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Plastic surgeon
20%
AI can already do 20% of this job.
#443 / 633
View rankingPlastic 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 |
|---|---|---|---|
Plan, photos and informed consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Operate: flaps, implants and burns.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Pre-op, markings and what you can actually promise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Post-op, dressings and reviewing the result.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Emergencies: hand, face and the lip that will not close.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Aesthetics, reconstruction and signing what is cut.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- plastic surgery
- flaps
- implants
- burns
- hand surgery
- pre-op marking
- post-op dressings
- reconstruction
Sources for this job· O*NET 29-1242.00· ESCO/ISCO 2212
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