IS WORK OVER?

Automation index

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

A recipe and a pH come earlier. Setting, turning and signing the ageing do not.

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

Task comparison

Cheesemaker

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
Milk, pH and the day’s recipe.
Estimate

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

16%40%+6.4
Set, cut and the drain.
Estimate

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

18%12%+2.2
Turn, salt and the ageing room.
Estimate

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

16%28%+4.5
Taste, the batch and the one that splits.
Estimate

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

16%22%+3.5
The co-op, the season and not selling too early.
Estimate

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

18%18%+3.2
Sign the ageing, and not forcing the pH.
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

  • set curd
  • drain whey
  • turn cheeses
  • ageing room
  • milk pH
  • salt
  • taste batches
  • cheese recipe

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7513

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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