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

Histology technician

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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
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

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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