IS WORK OVER?

Automation index

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

Costing and a cake design come earlier. Tempering chocolate and stacking a millefeuille that does not collapse do not.

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

Task comparison

Pastry chef

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
Design menus, cost and cake orders.
Estimate

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

16%35%+5.6
Doughs, creams and chocolate.
Estimate

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

20%12%+2.4
Assemble, decorate and finish.
Estimate

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

22%10%+2.2
Counter, orders and client care.
Estimate

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

14%18%+2.5
Hygiene, cold chain and storage.
Estimate

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

14%15%+2.1
Train assistants and shop-floor pace.
Estimate

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

14%16%+2.2
Total100%17%

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

Skills and activities

  • cook
  • mise en place
  • dishes
  • bake
  • Design menus, cost and cake orders
  • Doughs, creams and chocolate
  • Assemble, decorate and finish
  • Counter, orders and client care
  • Hygiene, cold chain and storage
  • Train assistants and shop-floor pace

Sources for this job· O*NET 51-3011.00· ESCO/ISCO 7512

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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