Automation index
How much of a Kayak guide’s job can AI already do?
A flow report comes earlier. Taking the group without flipping in the rapid do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Kayak guide
19%
AI can already do 19% of this job.
#497 / 633
View rankingKayak 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 |
|---|---|---|---|
Flow, kit and the briefing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Water, the novice and the one who flips.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Rescue, the rope and not losing anyone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rapid, the yes or no and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The cold, the wetsuit and not pushing the grade.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Without flipping the group, and whole to the take-out.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
- flow
- river rescue
- rapids
- wetsuit
- kayak novices
- rope
- river briefing
- flip
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