IS WORK OVER?

Automation index

How much of a Air cargo agent’s job can AI already do?

An AWB comes earlier. Boarding on time without leaving the cargo on the ramp do not.

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

Task comparison

Air cargo agent

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
AWB, weight and the flight.
Estimate

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

18%48%+8.6
Acceptance, screening and what cannot fly.
Estimate

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

16%22%+3.5
ULD, build-up and the cut-off.
Estimate

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

16%36%+5.8
Customs, transits and the one that misses the flight.
Estimate

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

16%28%+4.5
The client, the urgent and not overbooking the hold.
Estimate

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

18%14%+2.5
Board on time, and not leaving it on the ramp.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • AWB
  • cargo screening
  • ULD
  • cut-off
  • build-up
  • air transits
  • weight and volume
  • the hold

Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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