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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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