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?
Station master
23%
#307 / 643
View rankingStation master
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 |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323