IS WORK OVER?

Automation index

How much of a Security guard’s job can AI already do?

A log and a checklist come earlier. Stopping someone at 2 a.m., and calling or not, do not.

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

Task comparison

Security guard

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
Logs, tagged rounds and digital access.
Estimate

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

16%32%+5.1
Cameras, control rooms and written protocols.
Estimate

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

14%22%+3.1
Presence, rounds and physical control.
Estimate

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

22%8%+1.8
Incidents, ID checks and citizen’s arrest.
Estimate

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

18%8%+1.4
Dealing with client, neighbour and police.
Estimate

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

16%12%+1.9
Night shifts, fatigue and judgment.
Estimate

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

14%16%+2.2
Total100%16%

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

Skills and activities

  • Logs, tagged rounds and digital access
  • Presence, rounds and physical control
  • Incidents, ID checks and citizen’s arrest
  • Dealing with client, neighbour and police
  • Night shifts, fatigue and judgment
  • vigilante
  • security guard
  • guardia de seguridad

Sources for this job· O*NET 33-9032.00· ESCO/ISCO 5414

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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