IS WORK OVER?

Automation index

How much of a Restaurant maître’s job can AI already do?

A floor plan and a booking come earlier. A Saturday room that actually breathes does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Restaurant maître

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
Bookings, floor plan and briefing.
Estimate

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

16%32%+5.1
Greet, seat and read the room.
Estimate

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

20%12%+2.4
Floor team, passes and complaints.
Estimate

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

16%22%+3.5
Menu, wine and suggestions.
Estimate

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

16%18%+2.9
Close, till and reviews.
Estimate

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

16%16%+2.6
Not sinking a service or a waiter.
Estimate

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

16%14%+2.2
Total100%19%

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

Skills and activities

  • Bookings, floor plan and briefing
  • Greet, seat and read the room
  • Floor team, passes and complaints
  • Menu, wine and suggestions
  • Close, till and reviews
  • Not sinking a service or a waiter
  • jefe de sala
  • maitre

Sources for this job· O*NET 35-1012.00· ESCO/ISCO 1412

Last-mile 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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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