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

Tow-truck driver

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
Call, route and the vehicle type.
Estimate

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

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

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

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

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

16%22%+3.5
Garage, the note and the client who argues.
Estimate

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

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

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

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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