IS WORK OVER?

Automation index

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

A list and a standard pairing write fast. Tasting, selling the bottle, and reading the table do not.

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

Task comparison

Sommelier

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
Build the list, sheets and standard pairings.
Estimate

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

20%40%+8
Orders, cellar and stock.
Estimate

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

16%28%+4.5
Taste, buy and negotiate with the importer.
Estimate

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

20%12%+2.4
Table service and suggestive selling.
Estimate

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

16%10%+1.6
Train floor staff and handle a wine complaint.
Estimate

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

14%14%+2
Events, tastings and house relations.
Estimate

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

14%16%+2.2
Total100%21%

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

Skills and activities

  • Orders, cellar and stock
  • Taste, buy and negotiate with the importer
  • Table service and suggestive selling
  • Events, tastings and house relations
  • sommelier
  • sumiller
  • carta de vinos

Sources for this job· O*NET 35-1012.00· ESCO/ISCO 5131

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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