IS WORK OVER?

Automation index

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

A market order comes earlier. Picking the fish so it smells of sea, not fridge, do not.

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

Task comparison

Fishmonger

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
Order, market and what arrives fresh.
Estimate

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

16%40%+6.4
Clean, portion and the cut the customer wants.
Estimate

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

18%12%+2.2
Counter, advice and the one who cannot cook it.
Estimate

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

16%28%+4.5
Cold, ice and the piece that turns.
Estimate

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

16%22%+3.5
Christmas, the order and not running out of hake.
Estimate

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

18%18%+3.2
Smell of sea, and not selling yesterday as today.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • clean fish
  • portion
  • the market
  • fish counter
  • ice
  • Christmas orders
  • cut hake
  • pick the fish

Sources for this job· O*NET 51-3022.00· ESCO/ISCO 6221

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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