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?
Agile coach
24%
#257 / 633
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421