IS WORK OVER?

Automation index

How much of a Ski instructor’s job can AI already do?

A turn method comes earlier. Getting down the run without taking anyone with them do not.

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

Task comparison

Ski instructor

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
Level, kit and the group.
Estimate

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

16%32%+5.1
Run, the turn and the one who cuts across.
Estimate

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

22%8%+1.8
Fall, the one who cries and getting them up.
Estimate

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

16%22%+3.5
Snow, the storm and closing in time.
Estimate

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

16%28%+4.5
The queue, the pass and not losing a child.
Estimate

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

16%18%+2.9
Down whole, and taking nobody with them.
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

  • turns
  • runs
  • falls
  • snow groups
  • the pass
  • the storm
  • get them up
  • ski levels

Sources for this job· O*NET 39-9032.00· ESCO/ISCO 3422

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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