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

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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