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.
#504 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514