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

Social security 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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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