IS WORK OVER?

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

Mining 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.

TaskShareAIPoints
Model deposit, blast and rates.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Drawings, permits and mining plans.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Face, safety and ventilation.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Plant, contractors and output.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Restoration, waste and regulation.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Not leaving a miner below.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Climatologist

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.

TaskShareAIPoints
Series, homogenise and the gap.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Models, scenarios and the uncertainty.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Report, the headline and not selling the easy one.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Field, the station and the one that moves.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The politician, the figure and not staying quiet.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Attribute, and not selling the headline.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • climate series
  • homogenise
  • scenarios
  • uncertainty
  • headlines
  • stations
  • climate reports
  • attribution

Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112

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