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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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