IS WORK OVER?

Automation index

How much of a Aluminium carpenter’s job can AI already do?

A cutting list comes earlier. A tight close without the glass sweating do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Aluminium carpenter

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
Measure, cutting list and the profile cut.
Estimate

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

16%36%+5.8
Assemble, squares and the frame in the opening.
Estimate

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

18%12%+2.2
Glass, beads and the one that does not seal.
Estimate

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

16%22%+3.5
Fittings, tilt-and-turn and the fine adjust.
Estimate

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

16%28%+4.5
The dirty site and not scratching the anodising.
Estimate

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

18%18%+3.2
A tight close, and not leaving water in.
Estimate

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

16%12%+1.9
Total100%21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • cut profiles
  • assemble frames
  • beads
  • tilt-and-turn
  • seal glass
  • anodising
  • squares
  • measure openings

Sources for this job· O*NET 47-2211.00· ESCO/ISCO 7213

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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