Automation index
How much of a Olive-oil miller’s job can AI already do?
A yield comes earlier. Cold extracting without overheating do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Olive-oil miller
22%
AI can already do 22% of this job.
#363 / 673
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
IS WORK OVER?
Art teacher
22%
#394 / 673
View rankingArt teacher
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 |
|---|---|---|---|
Project, the sheet and the kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Classroom, the one who will not dare and the one who bins it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Technique, the mistake and not doing it for them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Show, the corridor and not hanging only the pretty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Staff, 'it's a soft subject', and not dropping the bar.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they get dirty, and not copying the model.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
- art sheets
- art projects
- technique
- school shows
- classroom kit
- not do it for them
- the bar
- getting dirty
Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330