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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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