IS WORK OVER?

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

Banquet 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.

TaskShareAIPoints
Menu, plan and the timing.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Set-up, staff and the one who is late.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Service, the toast and the one without a plate.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Kitchen, the pass and not working too far ahead.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The groom, the change and not mixing allergies.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
The service goes out, and the plate hot.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Olive-oil miller

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.

TaskShareAIPoints
Intake, yield and the mill log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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