IS WORK OVER?

Automation index

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

A list and an order come earlier. A full bar at two, and not cutting someone badly, do not.

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

Task comparison

Bartender

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
List, recipes and bar orders.
Estimate

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

16%32%+5.1
Make, serve and take money at the bar.
Estimate

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

22%10%+2.2
Service, drunks and not overserving.
Estimate

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

16%18%+2.9
Close, inventory and wastage.
Estimate

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

16%22%+3.5
Hygiene, ice and glassware.
Estimate

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

16%16%+2.6
Not leaving a dirty bar or a fight.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • List, recipes and bar orders
  • Make, serve and take money at the bar
  • Service, drunks and not overserving
  • Close, inventory and wastage
  • Hygiene, ice and glassware
  • Not leaving a dirty bar or a fight
  • bartender
  • barman
  • camarero de barra

Sources for this job· O*NET 35-3011.00· ESCO/ISCO 5132

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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