Automation index
How much of a Cider maker’s job can AI already do?
A must analysis comes earlier. Fermenting and pouring at the point do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cider maker
22%
AI can already do 22% of this job.
#388 / 643
View rankingCider maker
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 |
|---|---|---|---|
Apple, mill and the must.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Press, ferment and the one that sours.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rack, the gas and the pour point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The cellar, this year’s cider and the bar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The festival, the public and not tapping early.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
At the point, and not selling the sour.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
- mill apples
- the press
- ferment cider
- pour from height
- rack
- the cider bar
- must
- barrels
Sources for this job· O*NET 51-9012.00· ESCO/ISCO 8160
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120