Automation index
How much of a Youth educator’s job can AI already do?
An incident note comes earlier. Being there at night so nobody absconds do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Youth educator
21%
AI can already do 21% of this job.
#414 / 633
View rankingYouth educator
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 |
|---|---|---|---|
Plan, notes and the young person’s file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Shift, holding and the attempted abscond.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Workshop, homework and the hour that is not a fight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Family, youth prosecution and the judge.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Street, leisure and the one who is late back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The bond, and not losing the kid.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
- educate young people
- residential shifts
- hold incidents
- incident notes
- education workshop
- youth court
- prevent absconding
- night support
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635
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