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

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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