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

Aquaculturist

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
Oxygen, ration and the mortality log.
Estimate

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

16%40%+6.4
Cage, net and the escape.
Estimate

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

18%12%+2.2
Water quality, exchange and the bloom.
Estimate

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

16%28%+4.5
Vaccines, the vet and the batch that turns.
Estimate

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

16%22%+3.5
The storm, the swell and not losing the cage.
Estimate

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

18%18%+3.2
Not dying in the night, and not pushing density.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • cage oxygen
  • fish ration
  • nets
  • water quality
  • aquaculture mortality
  • batch vaccines
  • swell
  • stocking density

Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6221

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