IS WORK OVER?

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

Miner

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
Logs, blast plans and sensors.
Estimate

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

16%32%+5.1
Logged maintenance and mine CMMS.
Estimate

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

14%22%+3.1
Drill, load and extract.
Estimate

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

24%10%+2.4
Support, ventilation and water.
Estimate

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

16%12%+1.9
Safety, gases and evacuation.
Estimate

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

16%10%+1.6
Shift, partner and not getting casual.
Estimate

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

14%14%+2
Total100%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

Window installer

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
Measure openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

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