Automation index
How much of a Mining engineer’s job can AI already do?
A deposit model comes earlier. Going down and not leaving an unsafe face does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Mining engineer
22%
AI can already do 22% of this job.
#341 / 633
View rankingMining engineer
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 deposit, blast and rates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Drawings, permits and mining plans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Face, safety and ventilation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Plant, contractors and output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Restoration, waste and regulation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not leaving a miner below.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
- Model deposit, blast and rates
- Drawings, permits and mining plans
- Face, safety and ventilation
- Plant, contractors and output
- Restoration, waste and regulation
- Not leaving a miner below
- ingeniero de minas
- mining engineer
Sources for this job· O*NET 17-2151.00· ESCO/ISCO 2146
IS WORK OVER?
Statistician
26%
#201 / 633
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