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

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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