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

Tow-truck driver

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
Call, route and the vehicle type.
Estimate

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

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

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

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

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

16%22%+3.5
Garage, the note and the client who argues.
Estimate

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

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

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

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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