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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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