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

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
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

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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