Automation index
How much of a ENT doctor’s job can AI already do?
An audiogram and a first report come earlier. Operating an ear and not touching the facial nerve do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
ENT doctor
21%
AI can already do 21% of this job.
#432 / 633
View rankingENT doctor
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 |
|---|---|---|---|
Read audiograms, CT and a first plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, nasal endoscopy and otoscopy.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Ear, sinus and tonsil surgery.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 10% | +1.8 |
Explain, consent and difficult vertigo.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports, prescriptions and speech-therapy coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
On-call, nosebleeds and liability for the act.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Read audiograms, CT and a first plan
- Clinic, nasal endoscopy and otoscopy
- Ear, sinus and tonsil surgery
- Explain, consent and difficult vertigo
- otorrino
- otorrinolaringologo
Sources for this job· O*NET 29-1229.00· 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