Automation index
How much of a Climbing instructor’s job can AI already do?
A knot protocol comes earlier. Belaying so they do not actually fall do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Climbing instructor
19%
AI can already do 19% of this job.
#514 / 643
View rankingClimbing instructor
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 |
|---|---|---|---|
Knots, harness and the briefing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Wall, the panic and the one who freezes.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Belay, the factor and not getting distracted.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rock, anchors and the one that is loose.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The group, the ego and not going too high.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That they do not fall, and the knot tied.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
- knots
- harness
- belay
- fall factor
- anchors
- the wall
- panic
- route briefing
Sources for this job· O*NET 39-9032.00· ESCO/ISCO 3422
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