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

Agile 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.

TaskShareAIPoints
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
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

  • 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

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