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?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324