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?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511