Automation index
How much of a Kitchen fitter’s job can AI already do?
A 3D plan comes earlier. Doors that shut without showing the misalignment do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Kitchen fitter
20%
AI can already do 20% of this job.
#467 / 643
View rankingKitchen fitter
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 |
|---|---|---|---|
Plan, measures and the module breakdown.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Level, hang and the plinth that will not reach.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Worktop, sink and the edge that chips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Appliances, openings and the service visit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the tap change and the extra day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Doors that shut, and not leaving the misalignment.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit kitchens
- level modules
- worktops
- hang units
- plinths
- appliance housings
- sinks
- breakdown
Sources for this job· O*NET 47-2031.00· ESCO/ISCO 7115
IS WORK OVER?
Olive-oil miller
22%
#355 / 643
View rankingOlive-oil miller
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 |
|---|---|---|---|
Intake, yield and the mill log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Crush, malaxate and the decanter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Temperature, time and the fruitiness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cellar, the batch and the one that goes rancid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The campaign, the tractor queue and not heating.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cold for real, and not painting the yield.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crush olives
- malaxation
- decanter
- fruitiness
- the campaign
- mill yield
- oil cellar
- extraction temperature
Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514