IS WORK OVER?

Automation index

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

A stock session comes earlier. Getting them actually moving without getting hurt do not.

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

Task comparison

PE 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
Session, aims and the kit.
Estimate

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

16%40%+6.4
Yard, the group and the one who will not.
Estimate

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

18%14%+2.5
Injury, protocol and calling home.
Estimate

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

16%28%+4.5
Assess, the report and not giving a 10 for quiet.
Estimate

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

16%22%+3.5
Staff, the rain and not leaving them in the corridor.
Estimate

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

18%18%+3.2
That they move, and not getting hurt.
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

  • PE sessions
  • the yard
  • injury protocol
  • assess PE
  • sports kit
  • staff meeting
  • groups
  • the report

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330

Tram 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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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