Automation index
How much of a Kitchen porter’s job can AI already do?
An order and a mise come earlier. Service, and not slowing the brigade, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Kitchen porter
17%
AI can already do 17% of this job.
#596 / 643
View rankingKitchen porter
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 |
|---|---|---|---|
Orders, mise en place and labelling.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Peel, cut, wash and restock.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 10% | +2.4 |
Service, passes and not getting in the way.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Hygiene, HACCP and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Shifts, stoves and heat.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not cutting yourself or leaving a pot unwashed.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cook
- mise en place
- dishes
- bake
- Orders, mise en place and labelling
- Peel, cut, wash and restock
- Service, passes and not getting in the way
- Hygiene, HACCP and waste
- Shifts, stoves and heat
- ayudante de cocina
Sources for this job· O*NET 35-2021.00· ESCO/ISCO 9412
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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