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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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