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

Window installer

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
Measure openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
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

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

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