IS WORK OVER?

Automation index

How much of a Olive-oil miller’s job can AI already do?

A yield comes earlier. Cold extracting without overheating do not.

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

Task comparison

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

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

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