IS WORK OVER?

Automation index

How much of a Cabin manager’s job can AI already do?

A briefing comes earlier. Evacuating and the cabin obeying do not.

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

Task comparison

Cabin 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
Briefing, door assignment and the log.
Estimate

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

16%36%+5.8
Cabin, the difficult passenger and turbulence.
Estimate

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

22%8%+1.8
Service, allergies and the one who is ill.
Estimate

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

16%22%+3.5
Safety, the demo and the kit.
Estimate

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

16%28%+4.5
Delay, overbooking and the one who will not sit.
Estimate

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

16%18%+2.9
Evacuate for real, and sign the cabin.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • cabin briefing
  • assign doors
  • difficult passenger
  • safety demo
  • onboard allergies
  • overbooking
  • evacuate
  • turbulence

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

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

Analyse my job

Jobs with similar scores

  1. 473Politician20%
  2. 474Harbour pilot20%
  3. 475Chiropractor20%
  4. 477Lift technician20%
  5. 478Boiler technician20%
  6. 479Sonographer20%