IS WORK OVER?

Automation index

How much of a Teaching assistant’s job can AI already do?

A worksheet and a support note come earlier. Sitting with the one who is stuck does not.

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

Task comparison

Teaching assistant

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 materials and adaptations.
Estimate

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

16%32%+5.1
Support in class, playground and dining hall.
Estimate

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

22%10%+2.2
Accompany SEN and small mediation.
Estimate

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

16%22%+3.5
Notes to the teacher and incident log.
Estimate

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

16%28%+4.5
Stock, copies and classroom order.
Estimate

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

16%16%+2.6
Not labelling and not leaving a child alone.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • design interfaces
  • prototypes
  • figma
  • Prepare materials and adaptations
  • Accompany SEN and small mediation
  • Notes to the teacher and incident log
  • Stock, copies and classroom order
  • auxiliar docente
  • teaching assistant

Sources for this job· O*NET 25-9042.00· ESCO/ISCO 5312

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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