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

Histology technician

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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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