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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

Analyse my job

Jobs with similar scores

  1. 364Order picker22%
  2. 365Strength and conditioning coach22%
  3. 366Adult-education teacher22%
  4. 368Vocational teacher22%
  5. 369Golf professional22%
  6. 370Music teacher22%