IS WORK OVER?

Automation index

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

A recipe and a fermentation check come earlier. Tasting the tank and deciding the hops do not.

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

Task comparison

Brewer

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
Recipes, mash and the beer’s profile.
Estimate

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

16%40%+6.4
Boil, hops and the drop to fermenter.
Estimate

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

18%22%+4
Taste tanks, dry hop and when to pack.
Estimate

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

18%18%+3.2
CIP, quality and plant microbiology.
Estimate

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

16%32%+5.1
Packaging, batches and what hits the bar.
Estimate

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

16%28%+4.5
The recipe call and owning the batch.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • brew beer
  • mash
  • hop the wort
  • taste tanks
  • fermentation
  • CIP
  • package beer
  • sign the batch

Sources for this job· O*NET 51-9012.00· ESCO/ISCO 8160

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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