IS WORK OVER?

Automation index

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

An order and a mise come earlier. Service, and not slowing the brigade, do not.

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

Task comparison

Kitchen porter

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
Orders, mise en place and labelling.
Estimate

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

16%28%+4.5
Peel, cut, wash and restock.
Estimate

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

24%10%+2.4
Service, passes and not getting in the way.
Estimate

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

16%12%+1.9
Hygiene, HACCP and waste.
Estimate

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

16%18%+2.9
Shifts, stoves and heat.
Estimate

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

14%22%+3.1
Not cutting yourself or leaving a pot unwashed.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • cook
  • mise en place
  • dishes
  • bake
  • Orders, mise en place and labelling
  • Peel, cut, wash and restock
  • Service, passes and not getting in the way
  • Hygiene, HACCP and waste
  • Shifts, stoves and heat
  • ayudante de cocina

Sources for this job· O*NET 35-2021.00· ESCO/ISCO 9412

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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