IS WORK OVER?

Automation index

How much of a Stevedore’s job can AI already do?

A stow plan comes earlier. Moving a container and not killing anyone does not.

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

Task comparison

Stevedore

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
Stow plans, shifts and logs.
Estimate

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

16%28%+4.5
Hook, guide and lash cargo.
Estimate

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

24%8%+1.9
Quay, cranes and danger zones.
Estimate

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

16%12%+1.9
Team, radio and foreman.
Estimate

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

16%18%+2.9
Dangerous goods and checks.
Estimate

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

14%22%+3.1
Not leaving a container badly lashed.
Estimate

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

14%14%+2
Total100%16%

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

Skills and activities

  • Stow plans, shifts and logs
  • Hook, guide and lash cargo
  • Quay, cranes and danger zones
  • Team, radio and foreman
  • Dangerous goods and checks
  • Not leaving a container badly lashed
  • estibador
  • estiba
  • stevedore

Sources for this job· O*NET 53-7062.00· ESCO/ISCO 9333

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

Analyse my job

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