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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120