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?
Clinical research associate
27%
#172 / 643
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