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
IS WORK OVER?
Mountain guide
19%
AI can already do 19% of this job.
#508 / 643
View rankingMountain 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.
| Task | Share | AI | Points |
|---|---|---|---|
Report, route and the kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Walk, pace and the one who drops.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Ground, snow and the yes or no to go on.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Bivouac, the surprise and not improvising anchors.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the ego and not pushing the summit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Come down whole, and not trusting the report alone.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 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
IS WORK OVER?
Hydraulic engineer
27%
#166 / 643
View rankingHydraulic 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.
| Task | Share | AI | Points |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142