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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514