IS WORK OVER?

Automation index

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

The recipe and the order write themselves. Mixing at 4 a.m., smelling the dough, and pulling the oven do not.

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

Task comparison

Baker

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
Orders, recipes and flour stock.
Estimate

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

16%30%+4.8
Mix, ferment and shape.
Estimate

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

22%10%+2.2
Bake, cool and present.
Estimate

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

20%12%+2.4
Counter shift and dawn till.
Estimate

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

14%18%+2.5
Cleaning, hygiene and oven care.
Estimate

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

14%15%+2.1
Adjust the recipe to weather and today’s flour.
Estimate

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

14%16%+2.2
Total100%16%

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

Skills and activities

  • cook
  • mise en place
  • dishes
  • bake
  • Orders, recipes and flour stock
  • Mix, ferment and shape
  • Bake, cool and present
  • Counter shift and dawn till
  • Cleaning, hygiene and oven care
  • panader

Sources for this job· O*NET 51-3011.00· ESCO/ISCO 7512

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

Analyse my job

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