Automation index
How much of a Sonographer’s job can AI already do?
A slice protocol comes earlier. Finding the fetus and not saying too much do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Sonographer
20%
AI can already do 20% of this job.
#470 / 633
View rankingSonographer
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 |
|---|---|---|---|
Protocols, IDs and worklists.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scan, measure and capture slices.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Calm, explain and not jump a diagnosis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Brief the radiologist and archive the study.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Probes, gel and kit maintenance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Pregnancy, bad news and shoulder ergonomics.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Protocols, IDs and worklists
- Scan, measure and capture slices
- Calm, explain and not jump a diagnosis
- Probes, gel and kit maintenance
- tecnico en ecografia
- ecografista
- sonographer
Sources for this job· O*NET 29-2032.00· ESCO/ISCO 3211
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