IS WORK OVER?

Automation index

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

Filing a report and searching records already speeds up. Stopping someone, reading a street, and firing or not is not a model.

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

Task comparison

Police 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
Write reports, complaints and duty logs.
Estimate

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

18%35%+6.3
Search records, cameras and internal databases.
Estimate

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

14%30%+4.2
Patrol, presence and deterrence on the street.
Estimate

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

18%8%+1.4
Arrests, ID checks and use of force.
Estimate

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

18%6%+1.1
Victim support and conflict mediation.
Estimate

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

16%10%+1.6
Testify in court and coordinate with prosecutors.
Estimate

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

16%12%+1.9
Total100%17%

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

Skills and activities

  • police report
  • patrol
  • identify a person
  • Write reports, complaints and duty logs
  • Arrests, ID checks and use of force
  • Victim support and conflict mediation
  • policia
  • police
  • agente
  • guardia urbana

Sources for this job· O*NET 33-3051.00· ESCO/ISCO 5412

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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