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

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
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

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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