Automation index
How much of a Prison teacher’s job can AI already do?
A unit comes earlier. Teaching with the door, and them actually learning, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prison teacher
22%
AI can already do 22% of this job.
#434 / 743
View rankingPrison teacher
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 |
|---|---|---|---|
Unit, the wing and the allowed kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Classroom, the one who comes to sit and the one who wants it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Security, the pencil and not losing one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Exam, the certificate and not giving it away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Officers, the move and not leaving the group half done.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Teach, and that they actually learn.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- wings
- allowed kit
- prison certificates
- classroom security
- pencils
- moves
- warming the chair
- prison education
Sources for this job· O*NET 25-3011.00· ESCO/ISCO 2320
IS WORK OVER?
Reliability engineer
27%
#176 / 743
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141