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.
#355 / 633
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?
Economist
30%
#49 / 633
View rankingEconomist
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 |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631