IS WORK OVER?

Automation index

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

A lab panel and a batch come earlier. Tasting, blending and signing the vintage do not.

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

Task comparison

Winemaker

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
Lab work, densities and fermentation control.
Estimate

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

16%40%+6.4
Tasting, blending and the call on the vintage.
Estimate

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

18%18%+3.2
Vineyard, ripeness and when to pick.
Estimate

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

18%22%+4
Ageing, barrel, filtration and bottling.
Estimate

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

16%32%+5.1
Cellar, records and the board’s visit.
Estimate

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

16%28%+4.5
Signing the vintage and owning the bottle.
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

  • make wine
  • taste musts
  • blend wines
  • control fermentation
  • decide harvest
  • age in barrel
  • bottle
  • sign the vintage

Sources for this job· O*NET 19-1012.00· ESCO/ISCO 2145

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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