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

Dietetic 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.

TaskShareAIPoints
Menu, textures and the allergen.
Estimate

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

16%40%+6.4
Ward, the one who will not eat and the weight.
Estimate

No 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.
Estimate

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

16%28%+4.5
Educate, discharge and what is at home.
Estimate

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

16%22%+3.5
The dietitian, the plan and not jumping to a yes.
Estimate

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

18%18%+3.2
That they eat, and not starving them.
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

  • textures
  • allergens
  • puree
  • hospital menus
  • food education
  • ward weights
  • dysphagia
  • malnutrition

Sources for this job· O*NET 29-2051.00· ESCO/ISCO 3213

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