Automation index
How much of a Prison officer’s job can AI already do?
A log and a count come earlier. Opening a cell, and not losing face, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prison officer
15%
AI can already do 15% of this job.
#634 / 643
View rankingPrison officer
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 |
|---|---|---|---|
Logs, counts and files.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cameras, controls and internal comms.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Rounds, searches and inmate movement.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 6% | +1.3 |
Contain incidents and use of force.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 8% | +1.4 |
Care, wings and daily mediation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Coordinate with treatment, judges and families.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, counts and files
- Cameras, controls and internal comms
- Rounds, searches and inmate movement
- Contain incidents and use of force
- Care, wings and daily mediation
- prisiones
- funcionario de prisiones
- carcelero
- prison officer
Sources for this job· O*NET 33-3012.00· ESCO/ISCO 5413
IS WORK OVER?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421