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.
#615 / 653
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?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131