IS WORK OVER?

Automation index

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

A syllabus and a test come earlier. Running a workshop until the student welds straight does not.

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

Task comparison

Vocational 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
Plan modules, rubrics and exams.
Estimate

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

16%40%+6.4
Workshop, practice and safety watch.
Estimate

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

22%12%+2.6
Tutor placements, firms and difficult students.
Estimate

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

16%22%+3.5
Assess, minutes and vocational cycles.
Estimate

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

16%28%+4.5
Staff meeting, coordination and workshop stock.
Estimate

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

16%18%+2.9
Not leaving anyone without a trade or a diploma.
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
  • Plan modules, rubrics and exams
  • Workshop, practice and safety watch
  • Assess, minutes and vocational cycles
  • profesor de fp
  • vocational teacher

Sources for this job· O*NET 25-2032.00· ESCO/ISCO 2320

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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