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.
#586 / 633
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?
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