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

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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