Automation index
How much of a Neurosurgeon’s job can AI already do?
Neuronavigation comes earlier. Going into the skull and not leaving a deficit do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Neurosurgeon
19%
AI can already do 19% of this job.
#526 / 643
View rankingNeurosurgeon
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 |
|---|---|---|---|
Indicate, consent and the plan with neurology.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Craniotomy, spine and the tumour that bleeds.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Neuronavigation, monitoring and the margin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Neuro ICU, pupils and raised pressure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Family, the deficit and rehab.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
On-call, the haematoma and signing go or no-go.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- craniotomy
- spine surgery
- neuronavigation
- brain tumour
- neuro ICU
- subdural haematoma
- intraoperative monitoring
- raised ICP
Sources for this job· O*NET 29-1241.00· ESCO/ISCO 2212
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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