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

Site reliability engineer

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
SLOs, alerts and the runbook.
Estimate

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

18%52%+9.4
Incident, war room and not making it worse.
Estimate

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

16%22%+3.5
CI/CD, capacity and the error budget.
Estimate

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

16%40%+6.4
Postmortem, toil and automating the repeated.
Estimate

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

16%28%+4.5
The product that wants to ship and the SLO that will not allow it.
Estimate

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

18%14%+2.5
Not taking production down, and signing the change.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • SLOs
  • runbooks
  • handle incidents
  • error budget
  • autoscale
  • postmortem
  • reduce toil
  • reliability CI/CD

Sources for this job· O*NET 15-1244.00· ESCO/ISCO 2512

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