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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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