IS WORK OVER?

Automation index

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

A log and a checklist come earlier. A deck, a line, and a foreign port do not.

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

Task comparison

Sailor

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
Log, checklists and paper watches.
Estimate

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

16%32%+5.1
Charts, weather and passage planning.
Estimate

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

14%25%+3.5
Deck, lines, cargo and upkeep.
Estimate

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

22%10%+2.2
Watch, helm and lookout.
Estimate

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

16%12%+1.9
Emergencies, abandon ship and fire.
Estimate

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

16%12%+1.9
Life aboard, ports and fatigue.
Estimate

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

16%14%+2.2
Total100%17%

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

Skills and activities

  • Log, checklists and paper watches
  • Charts, weather and passage planning
  • Deck, lines, cargo and upkeep
  • Watch, helm and lookout
  • Emergencies, abandon ship and fire
  • Life aboard, ports and fatigue
  • marinero
  • sailor
  • gente de mar

Sources for this job· O*NET 53-5011.00· ESCO/ISCO 8350

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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