IS WORK OVER?

Automation index

How much of a Primary school teacher’s job can AI already do?

A workbook and a test come earlier. Holding a class of 25 until they can read does not.

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

Task comparison

Primary school teacher

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
Prepare lessons, worksheets and adaptations.
Estimate

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

16%40%+6.4
Teach, tutor and hold the classroom.
Estimate

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

22%10%+2.2
Families, parent meetings and conflicts.
Estimate

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

16%22%+3.5
Assess, reports and special-needs notes.
Estimate

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

16%32%+5.1
Playground, dining hall and duties.
Estimate

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

16%18%+2.9
Staff meeting, planning and not leaving a child behind.
Estimate

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

14%14%+2
Total100%22%

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

Skills and activities

  • teach class
  • mark students
  • lesson plans
  • teach
  • Teach, tutor and hold the classroom
  • Families, parent meetings and conflicts
  • Assess, reports and special-needs notes
  • Playground, dining hall and duties
  • maestro de primaria
  • maestra de primaria

Sources for this job· O*NET 25-2021.00· ESCO/ISCO 2341

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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