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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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