IS WORK OVER?

Automation index

How much of a Youth educator’s job can AI already do?

An incident note comes earlier. Being there at night so nobody absconds do not.

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

Task comparison

Youth educator

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
Plan, notes and the young person’s file.
Estimate

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

16%36%+5.8
Shift, holding and the attempted abscond.
Estimate

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

22%10%+2.2
Workshop, homework and the hour that is not a fight.
Estimate

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

16%22%+3.5
Family, youth prosecution and the judge.
Estimate

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

16%28%+4.5
Street, leisure and the one who is late back.
Estimate

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

16%18%+2.9
The bond, and not losing the kid.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • educate young people
  • residential shifts
  • hold incidents
  • incident notes
  • education workshop
  • youth court
  • prevent absconding
  • night support

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635

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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