Automation index
How much of a Social educator’s job can AI already do?
A report and a plan come earlier. Being with someone on the street and not dropping them does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Social educator
20%
AI can already do 20% of this job.
#450 / 633
View rankingSocial 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 |
|---|---|---|---|
Reports, individual plans and paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Accompany on the street, in flats and in the centre.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Mediate families, resources and crises.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Coordinate services, courts and mental health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shifts, team and supervision.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not abandoning the person nobody wants.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
- Reports, individual plans and paperwork
- Mediate families, resources and crises
- Shifts, team and supervision
- Not abandoning the person nobody wants
- educador social
- educadora social
- social educator
Sources for this job· O*NET 21-1021.00· 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