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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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