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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512