Automation index
How much of a Grill cook’s job can AI already do?
A doneness chart comes earlier. Marking on the grill and serving it at the point do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Grill cook
19%
AI can already do 19% of this job.
#478 / 633
View rankingGrill cook
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 |
|---|---|---|---|
Cut, ageing and the requested doneness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Grill, mark and the fire that dies.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Rest, plate and the one that goes cold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
List, shrink and the expensive cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The full room and not working too far ahead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
At the point, and not drying the cut.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- mark on the grill
- doneness
- ageing
- rest
- plate
- cuts
- grill shrink
- the fire
Sources for this job· O*NET 35-2014.00· ESCO/ISCO 5120
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