Automation index
How much of a Miner’s job can AI already do?
A blast plan and a log come earlier. Going down, drilling, and coming out alive do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Miner
16%
AI can already do 16% of this job.
#616 / 643
View rankingMiner
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 |
|---|---|---|---|
Logs, blast plans and sensors.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Logged maintenance and mine CMMS.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Drill, load and extract.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 10% | +2.4 |
Support, ventilation and water.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Safety, gases and evacuation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Shift, partner and not getting casual.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, blast plans and sensors
- Logged maintenance and mine CMMS
- Drill, load and extract
- Support, ventilation and water
- Safety, gases and evacuation
- Shift, partner and not getting casual
- minero
- miner
- interior de mina
Sources for this job· O*NET 47-5041.00· ESCO/ISCO 8111
IS WORK OVER?
Hydraulic engineer
27%
#166 / 643
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142