IS WORK OVER?

Automation index

How much of a Hotel concierge’s job can AI already do?

A booking and a map come earlier. A table at ten, and calming someone, do not.

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

Task comparison

Hotel concierge

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, maps and recommendations.
Estimate

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

16%40%+6.4
Desk, bags and difficult guests.
Estimate

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

20%12%+2.4
Restaurants, tickets and transport.
Estimate

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

16%22%+3.5
Logs, shifts and front-desk coordination.
Estimate

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

16%28%+4.5
Neighbourhood, vendors and errands.
Estimate

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

16%16%+2.6
Not leaving a guest stranded at two in the morning.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Bookings, maps and recommendations
  • Desk, bags and difficult guests
  • Restaurants, tickets and transport
  • Logs, shifts and front-desk coordination
  • Neighbourhood, vendors and errands
  • conserje
  • concierge
  • portero de hotel

Sources for this job· O*NET 43-4081.00· ESCO/ISCO 4224

Facilities engineer

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
CMMS, tickets and the PPM.
Estimate

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

16%40%+6.4
Roof, the chiller and the one that will not start.
Estimate

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

18%14%+2.5
Generator, the diesel and not leaving it dry.
Estimate

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

16%28%+4.5
Fire, the pump and the monthly test.
Estimate

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

16%22%+3.5
The tenant, August and not jumping to a yes.
Estimate

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

18%18%+3.2
That cooling does not die, and not leaving the generator dry.
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

  • CMMS
  • PPM
  • chillers
  • generators
  • diesel
  • fire pumps
  • roofs
  • tickets

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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