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

Strength and conditioning coach

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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
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

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

Analyse my job

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