IS WORK OVER?

Automation index

How much of a Port crane operator’s job can AI already do?

A stowage plan comes earlier. Lifting the box without hitting the ship do not.

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

Task comparison

Port crane operator

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
Stowage, bays and the twistlock.
Estimate

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

16%32%+5.1
Hoist, the wind and the spreader.
Estimate

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

24%6%+1.4
Shift, the ship that arrives and the one that leaves.
Estimate

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

16%22%+3.5
Breakdown, the spreader that will not lock and stopping.
Estimate

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

16%28%+4.5
The docker below and covering nobody.
Estimate

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

14%18%+2.5
Not hitting the ship, and leaving the bay clear.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • stowage
  • twistlocks
  • spreader
  • bays
  • lift boxes
  • quay wind
  • terminal shifts
  • cover nobody

Sources for this job· O*NET 53-7021.00· ESCO/ISCO 8343

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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