IS WORK OVER?

Automation index

How much of a Well driller’s job can AI already do?

A progress log comes earlier. Clean water without collapsing the well do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Well driller

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
Location, permit and the progress log.
Estimate

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

16%32%+5.1
Drill, case and the collapse.
Estimate

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

22%8%+1.8
Mud, samples and the geological log.
Estimate

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

16%22%+3.5
Yield test, pump and the water analysis.
Estimate

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

16%28%+4.5
The owner, the neighbour and the well that will not yield.
Estimate

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

16%18%+2.9
Clean water, and not leaving a blind well.
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

  • drill wells
  • case
  • yield test
  • drilling mud
  • geological log
  • samples
  • well pumps
  • drilling permits

Sources for this job· O*NET 47-5023.00· ESCO/ISCO 8113

Home-automation 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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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