Automation index
How much of a Prison social worker’s job can AI already do?
A board report comes earlier. The one who can leaving without selling cheap freedom do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prison social worker
22%
AI can already do 22% of this job.
#485 / 743
View rankingPrison social worker
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 |
|---|---|---|---|
Report, the board and the wing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The inmate, the family and the one who has nobody.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Leave, the risk and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Outside, the flat and them not falling the first month.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The lawyer, the rush and not dressing it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the one who can leaves, and not selling cheap freedom.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
- board reports
- prison leave
- wings
- release flats
- inmates' families
- risk
- first month outside
- not dress it
Sources for this job· O*NET 21-1023.00· ESCO/ISCO 2635
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