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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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