IS WORK OVER?

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

Climbing 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.

TaskShareAIPoints
Knots, harness and the briefing.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Wall, the panic and the one who freezes.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Belay, the factor and not getting distracted.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Rock, anchors and the one that is loose.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The group, the ego and not going too high.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
That they do not fall, and the knot tied.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%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

Mobile 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.

TaskShareAIPoints
Screens, API and offline state.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
CI, tests and the week's release.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

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