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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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