Automation index
How much of a Banquet manager’s job can AI already do?
A menu and a table plan come earlier. The service going out without the plate going cold do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Banquet manager
22%
AI can already do 22% of this job.
#352 / 643
View rankingBanquet manager
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 |
|---|---|---|---|
Menu, plan and the timing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Set-up, staff and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Service, the toast and the one without a plate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Kitchen, the pass and not working too far ahead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The groom, the change and not mixing allergies.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The service goes out, and the plate hot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- table plans
- banquet timing
- set-up
- toast
- kitchen pass
- allergies
- floor staff
- menus
Sources for this job· O*NET 35-1012.00· ESCO/ISCO 1412
IS WORK OVER?
Workshop teacher
19%
#519 / 643
View rankingWorkshop teacher
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 |
|---|---|---|---|
Sheet, material and the station.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Shop, the machine and the one without glasses.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
The piece, the error and doing it again.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Assess, the portfolio and not giving the pass away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The firm, the placement and the one who does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The piece made, and no cuts.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
- practical sheets
- shop machines
- glasses
- portfolio
- firm placements
- shop stations
- shop safety
- pieces
Sources for this job· O*NET 25-2032.00· ESCO/ISCO 2320