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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

Analyse my job

Jobs with similar scores

  1. 91Retail salesperson28%
  2. 92Mobile developer28%
  3. 93Fleet dispatcher28%
  4. 95Graphic designer28%
  5. 96Video editor28%
  6. 97SEM specialist28%