IS WORK OVER?

Automation index

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

A pattern comes earlier. Fitting, marking and hanging on the body do not.

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

Task comparison

Tailor

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
Pattern, measures and the fitting.
Estimate

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

16%32%+5.1
Cut, tack and the shoulder that will not hang.
Estimate

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

22%8%+1.8
Fit, mark and the client who loses weight.
Estimate

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

16%22%+3.5
Buttonholes, lining and the hand finish.
Estimate

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

16%28%+4.5
The groom, the deadline and not rushing the hem.
Estimate

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

16%18%+2.9
Hang on the body, and not leaving a high shoulder.
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

  • take measures
  • patterns
  • tack
  • buttonholes
  • tailor fittings
  • linings
  • hem
  • shoulder

Sources for this job· O*NET 51-6052.00· ESCO/ISCO 7531

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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