Automation index
How much of a Executive chef’s job can AI already do?
A dish sheet and a supplier order move earlier. The pass, the brigade, and a house’s taste do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Executive chef
19%
AI can already do 19% of this job.
#485 / 633
View rankingExecutive 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 |
|---|---|---|---|
Menus, dish sheets and food cost.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 38% | +6.8 |
Orders, suppliers and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pass, plating and service pace.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 10% | +2 |
Lead the brigade, shifts and conflicts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Cook on the line and correct doneness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Hygiene, audits and the house’s name.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cook
- mise en place
- dishes
- bake
- Menus, dish sheets and food cost
- Orders, suppliers and waste
- Pass, plating and service pace
- Lead the brigade, shifts and conflicts
- Cook on the line and correct doneness
- Hygiene, audits and the house’s name
Sources for this job· O*NET 35-1011.00· ESCO/ISCO 3434
IS WORK OVER?
Order picker
22%
#364 / 633
View rankingOrder picker
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 |
|---|---|---|---|
List, location and the scan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Aisle, height and the parcel that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Errors, the short and calling it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pace, the shift and the pallet that goes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Peaks, Black Friday and not mixing orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hit the SKU, and not leaving a lame pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- picking
- scan locations
- shorts
- build pallets
- warehouse aisles
- order peaks
- SKUs
- voice picking
Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321