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

Tram 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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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