IS WORK OVER?

Automation index

How much of a Probation officer’s job can AI already do?

A reporting calendar comes earlier. Stopping reoffending and calling it when it turns do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Probation 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
The order plan, reporting and the conditions.
Estimate

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

16%40%+6.4
Visit, interview and what they do not say.
Estimate

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

18%14%+2.5
Reports to the judge and the breach.
Estimate

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

16%32%+5.1
Network, work and the resource that is not there.
Estimate

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

16%28%+4.5
The victim, the offender and not mixing roles.
Estimate

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

18%18%+3.2
Call it in time, and not dressing the follow-up.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • probation
  • order plan
  • reports to the judge
  • breach of conditions
  • follow-up visits
  • sentence conditions
  • reoffending
  • periodic reporting

Sources for this job· O*NET 21-1092.00· ESCO/ISCO 2635

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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