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?
Oceanographer
22%
#357 / 633
View rankingOceanographer
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, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.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
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114