IS WORK OVER?

Automation index

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

A ticket pad comes earlier. Getting to the fight without inflaming it do not.

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

Task comparison

Local 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
Shift, the pad and the radar.
Estimate

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

16%32%+5.1
Street, the fight and the one who is drunk.
Estimate

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

22%8%+1.8
Traffic, the crash and not covering the dead.
Estimate

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

16%22%+3.5
Premises, closing time and the one who will not.
Estimate

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

16%28%+4.5
The note, the court and not dressing it.
Estimate

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

16%18%+2.9
Get there, and not inflaming the fight.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • ticket pads
  • street fights
  • crashes
  • closing time
  • radar
  • notes to court
  • local shifts
  • drink

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

Geomatics engineer

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
Station, the base and the cloud.
Estimate

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

16%40%+6.4
Field, the axis and the one that moved.
Estimate

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

18%14%+2.5
Model, the drift and not hiding metres.
Estimate

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

16%28%+4.5
Works, the setting-out and going down to see it.
Estimate

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

16%22%+3.5
The contractor, the rush and not signing the drift.
Estimate

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

18%18%+3.2
That the axis is there, and not signing metres.
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

  • point clouds
  • total stations
  • axes
  • setting-out
  • drift
  • bases
  • geomatics
  • the field

Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165

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