IS WORK OVER?

Automation index

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

A course comes earlier. Bringing people and boat whole into harbour do not.

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

Task comparison

Skipper

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
Course, log and the day’s weather.
Estimate

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

16%36%+5.8
Helm, the sea and the harbour manoeuvre.
Estimate

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

22%8%+1.8
Crew, the novice and the one who is sick.
Estimate

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

16%22%+3.5
Breakdown, sail or engine and calling it in time.
Estimate

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

16%28%+4.5
The client, the charter and not pushing it.
Estimate

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

16%18%+2.9
Whole into harbour, and not trusting the plotter alone.
Estimate

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

14%10%+1.4
Total100%20%

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

Skills and activities

  • courses
  • helm
  • harbour manoeuvre
  • weather
  • charter
  • novices aboard
  • breakdowns at sea
  • the plotter

Sources for this job· O*NET 53-5021.00· ESCO/ISCO 3152

Security guard

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
Logs, tagged rounds and digital access.
Estimate

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

16%32%+5.1
Cameras, control rooms and written protocols.
Estimate

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

14%22%+3.1
Presence, rounds and physical control.
Estimate

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

22%8%+1.8
Incidents, ID checks and citizen’s arrest.
Estimate

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

18%8%+1.4
Dealing with client, neighbour and police.
Estimate

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

16%12%+1.9
Night shifts, fatigue and judgment.
Estimate

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

14%16%+2.2
Total100%16%

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

Skills and activities

  • Logs, tagged rounds and digital access
  • Presence, rounds and physical control
  • Incidents, ID checks and citizen’s arrest
  • Dealing with client, neighbour and police
  • Night shifts, fatigue and judgment
  • vigilante
  • security guard
  • guardia de seguridad

Sources for this job· O*NET 33-9032.00· ESCO/ISCO 5414

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