IS WORK OVER?

Automation index

How much of a Airline pilot’s job can AI already do?

Flight plan and weather already process themselves. Deciding in a failure, talking to the cabin, and landing do not.

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

Task comparison

Airline pilot

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
Prepare flight plan, fuel and NOTAMs.
Estimate

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

18%40%+7.2
Weather and company briefing.
Estimate

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

14%32%+4.5
Flying: take-off, cruise and landing.
Estimate

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

22%8%+1.8
Failures, diversions and emergencies.
Estimate

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

16%12%+1.9
Coordination with ATC, cabin and ground.
Estimate

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

16%10%+1.6
Reports, logbook and fatigue compliance.
Estimate

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

14%15%+2.1
Total100%19%

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

Skills and activities

  • Prepare flight plan, fuel and NOTAMs
  • Weather and company briefing
  • Flying: take-off, cruise and landing
  • Failures, diversions and emergencies
  • Coordination with ATC, cabin and ground
  • Reports, logbook and fatigue compliance
  • piloto
  • pilot
  • aviacion
  • comandante de aeronave

Sources for this job· O*NET 53-2011.00· ESCO/ISCO 3153

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

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