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.
#438 / 623
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?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511