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.
#452 / 643
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?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324