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

Astronomer

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
Proposal, time and the instrument.
Estimate

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

18%48%+8.6
Observe, calibrate and the one that clouds over.
Estimate

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

16%40%+6.4
Reduce, the pipeline and the artefact.
Estimate

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

16%22%+3.5
Paper, the referee and not jumping.
Estimate

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

16%28%+4.5
The facility, the queue and not losing the night.
Estimate

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

18%14%+2.5
Reduce, and not selling the find early.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • telescope time
  • calibrate
  • pipelines
  • papers
  • artefacts
  • nights
  • proposals
  • instruments

Sources for this job· O*NET 19-2011.00· ESCO/ISCO 2111

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