IS WORK OVER?

Automation index

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

A catch log and a route come earlier. The sea, the net, and a storm do not.

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

Task comparison

Fisher

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
Catch logs, quotas and fishing GPS.
Estimate

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

14%32%+4.5
Logged boat maintenance.
Estimate

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

14%22%+3.1
Go out, set, haul and stow.
Estimate

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

24%8%+1.9
Read the sea, the gear and the school.
Estimate

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

16%10%+1.6
Safety, storm and fatigue.
Estimate

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

16%12%+1.9
Market, price and crew life.
Estimate

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

16%14%+2.2
Total100%15%

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

Skills and activities

  • Catch logs, quotas and fishing GPS
  • Logged boat maintenance
  • Go out, set, haul and stow
  • Read the sea, the gear and the school
  • Safety, storm and fatigue
  • Market, price and crew life
  • pescador
  • fisher
  • pesquero

Sources for this job· O*NET 45-3011.00· ESCO/ISCO 6222

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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