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?
Last-mile manager
26%
#216 / 643
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