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.
#498 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512