IS WORK OVER?

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

Prison 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.

TaskShareAIPoints
Logs, counts and files.
Estimate

No public source provides a precise figure. This is our estimate.

16%30%+4.8
Cameras, controls and internal comms.
Estimate

No public source provides a precise figure. This is our estimate.

14%22%+3.1
Rounds, searches and inmate movement.
Estimate

No public source provides a precise figure. This is our estimate.

22%6%+1.3
Contain incidents and use of force.
Estimate

No public source provides a precise figure. This is our estimate.

18%8%+1.4
Care, wings and daily mediation.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Coordinate with treatment, judges and families.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%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

Olive-oil miller

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.

TaskShareAIPoints
Intake, yield and the mill log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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