IS WORK OVER?

Automation index

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

A doneness chart comes earlier. Marking on the grill and serving it at the point do not.

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

Task comparison

Grill cook

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
Cut, ageing and the requested doneness.
Estimate

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

16%32%+5.1
Grill, mark and the fire that dies.
Estimate

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

22%8%+1.8
Rest, plate and the one that goes cold.
Estimate

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

16%22%+3.5
List, shrink and the expensive cut.
Estimate

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

16%28%+4.5
The full room and not working too far ahead.
Estimate

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

16%18%+2.9
At the point, and not drying the cut.
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

  • mark on the grill
  • doneness
  • ageing
  • rest
  • plate
  • cuts
  • grill shrink
  • the fire

Sources for this job· O*NET 35-2014.00· ESCO/ISCO 5120

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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