IS WORK OVER?

Automation index

How much of a Mountain guide’s job can AI already do?

An avalanche report comes earlier. Taking the group and coming down whole do not.

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

Task comparison

Mountain guide

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
Report, route and the kit.
Estimate

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

16%32%+5.1
Walk, pace and the one who drops.
Estimate

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

22%8%+1.8
Ground, snow and the yes or no to go on.
Estimate

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

16%22%+3.5
Bivouac, the surprise and not improvising anchors.
Estimate

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

16%28%+4.5
The client, the ego and not pushing the summit.
Estimate

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

16%18%+2.9
Come down whole, and not trusting the report alone.
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

  • avalanche reports
  • mountain routes
  • group pace
  • bivouac
  • anchors
  • ground
  • summit
  • mountain kit

Sources for this job· O*NET 39-7011.00· ESCO/ISCO 5113

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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