Automation index
How much of a Prison educator’s job can AI already do?
A wing pathway comes earlier. Being in the yard so the workshop does not go sideways do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prison educator
21%
AI can already do 21% of this job.
#415 / 633
View rankingPrison 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 |
|---|---|---|---|
Programmes, reports and the treatment board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Wing, yard and the fight that blows up.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Workshop, studies and the one who shows up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Family, leave and the note to the lawyer.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The hard inmate and not losing authority.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The bond inside, and it not being paper.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- treatment programmes
- prison workshops
- the yard
- treatment board
- leave reports
- the wing
- prison study
- yard conflict
Sources for this job· O*NET 21-1092.00· 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