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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
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

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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