IS WORK OVER?

Automation index

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

A tide sheet comes earlier. Taking the quota without emptying the bed do not.

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

Task comparison

Shellfish gatherer

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
Tide, quota and the day’s permit.
Estimate

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

16%28%+4.5
Bed, rake and the cold in the legs.
Estimate

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

24%6%+1.4
Grade, size and what goes back.
Estimate

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

16%22%+3.5
Market, the price and the one who does not declare.
Estimate

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

16%28%+4.5
The toxin, the closure and not going out anyway.
Estimate

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

14%18%+2.5
The quota, and not emptying the bed.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • tide
  • quotas
  • shellfish beds
  • minimum sizes
  • the market
  • biotoxins
  • the rake
  • gathering permits

Sources for this job· O*NET 45-3011.00· 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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