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?
Agile coach
24%
#262 / 643
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