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
IS WORK OVER?
Pastry chef
17%
AI can already do 17% of this job.
#605 / 643
View rankingPastry 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design menus, cost and cake orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Doughs, creams and chocolate.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Assemble, decorate and finish.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Counter, orders and client care.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hygiene, cold chain and storage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Train assistants and shop-floor pace.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120