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
IS WORK OVER?
Bartender
18%
AI can already do 18% of this job.
#557 / 633
View rankingBartender
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.
| Task | Share | AI | Points |
|---|---|---|---|
List, recipes and bar orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Make, serve and take money at the bar.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Service, drunks and not overserving.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Close, inventory and wastage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Hygiene, ice and glassware.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a dirty bar or a fight.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 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
IS WORK OVER?
Data engineer
31%
#36 / 633
View rankingData engineer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511