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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512