Automation index
How much of a Miller’s job can AI already do?
A mill diagram comes earlier. Regular flour without scorching the grain do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Miller
22%
AI can already do 22% of this job.
#364 / 643
View rankingMiller
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 |
|---|---|---|---|
Wheat, moisture and the diagram.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Mill, sift and the one that heats.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Quality, ash and the baker who complains.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cleaning, pests and the silo.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The harvest, the batch and not mixing the wet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Regular flour, and not scorching the grain.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 wheat
- sift
- grain moisture
- ash
- silos
- mill pests
- mill diagrams
- flour batches
Sources for this job· O*NET 51-9021.00· 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