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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
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

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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