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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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