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.
#686 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351