IS WORK OVER?

Automation index

How much of a Flight attendant’s job can AI already do?

Briefing and inventory get lighter. Getting 180 people off a burning aircraft, and calming a passenger, do not.

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

Task comparison

Flight attendant

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
Briefing, cabin inventory and flight reports.
Estimate

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

16%30%+4.8
Cabin service, sales and requests.
Estimate

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

18%22%+4
Safety, demo and emergency procedure.
Estimate

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

20%8%+1.6
Conflict and disruptive-passenger handling.
Estimate

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

16%10%+1.6
Care for minors, sick passengers and reduced mobility.
Estimate

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

16%12%+1.9
Coordination with cockpit and ground.
Estimate

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

14%18%+2.5
Total100%16%

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

Skills and activities

  • Cabin service, sales and requests
  • Safety, demo and emergency procedure
  • Conflict and disruptive-passenger handling
  • Coordination with cockpit and ground
  • azafata
  • auxiliar de vuelo
  • tripulante de cabina
  • flight attendant
  • tcp

Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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