Automation index
How much of a Blacksmith’s job can AI already do?
A sketch comes earlier. Forging, tempering and the piece not cracking do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Blacksmith
19%
AI can already do 19% of this job.
#510 / 643
View rankingBlacksmith
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 |
|---|---|---|---|
Sketch, template and the material calc.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Forge, temper and the blow that counts.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Weld, rivet and the site fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Grilles, gates and the client’s order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Coal, the hearth and the shop rhythm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it does not crack, and signing the iron.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
- forge
- temper
- grilles
- rivet
- iron templates
- forge hearth
- site fit
- iron gates
Sources for this job· O*NET 51-4121.00· ESCO/ISCO 7221
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