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

Aquaculturist

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
Oxygen, ration and the mortality log.
Estimate

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

16%40%+6.4
Cage, net and the escape.
Estimate

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

18%12%+2.2
Water quality, exchange and the bloom.
Estimate

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

16%28%+4.5
Vaccines, the vet and the batch that turns.
Estimate

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

16%22%+3.5
The storm, the swell and not losing the cage.
Estimate

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

18%18%+3.2
Not dying in the night, and not pushing density.
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

  • cage oxygen
  • fish ration
  • nets
  • water quality
  • aquaculture mortality
  • batch vaccines
  • swell
  • stocking density

Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6221

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