IS WORK OVER?

Automation index

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

A flight plan comes earlier. Signing the fuel without leaving the aircraft short do not.

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

Task comparison

Flight dispatcher

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
Plan, NOTAM, METAR and the fuel.
Estimate

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

18%52%+9.4
Slot, alternates and weight.
Estimate

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

16%40%+6.4
The crew, the change and the late aircraft.
Estimate

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

16%22%+3.5
MEL, restrictions and the go or no-go.
Estimate

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

16%28%+4.5
The storm, the diversion and recalculating in time.
Estimate

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

18%14%+2.5
Not leaving it short, and signing the release.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • flight plans
  • NOTAM
  • METAR
  • fuel calc
  • slots
  • MEL
  • alternates
  • operational release

Sources for this job· O*NET 53-2022.00· ESCO/ISCO 3154

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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