Automation index
How much of a Maxillofacial surgeon’s job can AI already do?
A 3D osteotomy plan comes earlier. Cutting the jaw and getting the bite to fit do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Maxillofacial surgeon
21%
AI can already do 21% of this job.
#410 / 633
View rankingMaxillofacial 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 |
|---|---|---|---|
3D plan, splints and consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Osteotomies, facial trauma and implants.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cyst, impacted wisdom tooth and the joint.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Post-op, occlusion and the face that swells.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Head and neck oncology with the board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Facial emergencies and signing the bone that moves.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- osteotomy
- facial trauma
- zygomatic implants
- impacted wisdom teeth
- occlusion
- 3D maxillofacial plan
- jaw cysts
- head and neck
Sources for this job· O*NET 29-1022.00· ESCO/ISCO 2261
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