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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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