IS WORK OVER?

Automation index

How much of a Camp counsellor’s job can AI already do?

An activity programme comes earlier. Nobody absconding and coming back whole do not.

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

Task comparison

Camp counsellor

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
Programme, groups and the log.
Estimate

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

16%32%+5.1
Night, the one who cries and the one who absconds.
Estimate

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

22%8%+1.8
Activity, the river and not leaving them alone.
Estimate

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

16%22%+3.5
Food, allergies and the one who will not eat.
Estimate

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

16%28%+4.5
Parents, the call and not hiding the knock.
Estimate

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

16%18%+2.9
Come back whole, and not losing anyone.
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

  • camp programmes
  • nights
  • allergies
  • groups
  • the river
  • logs
  • parents
  • absconds

Sources for this job· O*NET 39-9032.00· ESCO/ISCO 3423

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

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