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

Train conductor

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
Consist, brakes and the departure sheet.
Estimate

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

16%36%+5.8
Platform, close-up and the one left outside.
Estimate

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

18%12%+2.2
Incidents, Control and the delay.
Estimate

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

16%28%+4.5
Ticket staff, the fare dodger and the clash.
Estimate

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

16%22%+3.5
The line, the points and not leaving early.
Estimate

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

18%18%+3.2
Leave nobody behind, and sign the consist.
Estimate

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

16%12%+1.9
Total100%21%

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

Skills and activities

  • train consist
  • platform close-up
  • departure sheet
  • Control
  • brake check
  • line incidents
  • halts
  • delays

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 8312

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