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

Tow-truck driver

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
Call, route and the vehicle type.
Estimate

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

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

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

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

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

16%22%+3.5
Garage, the note and the client who argues.
Estimate

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

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

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

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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