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.
#353 / 663
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?
Dietetic technician
22%
#402 / 663
View rankingDietetic technician
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 |
|---|---|---|---|
Menu, textures and the allergen.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ward, the one who will not eat and the weight.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Kitchen, the change and the one who gets the puree wrong.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Educate, discharge and what is at home.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The dietitian, the plan and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they eat, and not starving them.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
- textures
- allergens
- puree
- hospital menus
- food education
- ward weights
- dysphagia
- malnutrition
Sources for this job· O*NET 29-2051.00· ESCO/ISCO 3213