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

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
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

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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