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

Taxi 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
Navigate, take payment and log shifts.
Estimate

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

16%40%+6.4
Find the passenger and read the city.
Estimate

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

16%12%+1.9
Drive safely in all kinds of traffic.
Estimate

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

22%8%+1.8
Care, luggage and passenger languages.
Estimate

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

16%15%+2.4
Car maintenance and shifts.
Estimate

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

16%18%+2.9
Licences, radio and zone knowledge.
Estimate

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

14%22%+3.1
Total100%19%

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

Skills and activities

  • drive
  • route
  • load goods
  • Navigate, take payment and log shifts
  • Find the passenger and read the city
  • Drive safely in all kinds of traffic
  • Care, luggage and passenger languages
  • Car maintenance and shifts
  • Licences, radio and zone knowledge
  • taxista

Sources for this job· O*NET 53-3054.00· ESCO/ISCO 8322

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