IS WORK OVER?

Automation index

How much of a Water technician’s job can AI already do?

A network test comes earlier. Potable water without bursting the main do not.

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

Task comparison

Water 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
Network, test and the chlorine.
Estimate

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

16%40%+6.4
Leak, locate and the shut-off.
Estimate

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

18%14%+2.5
Tank, the level and the one that runs dry.
Estimate

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

16%28%+4.5
Notice, the neighbourhood and not leaving them dry.
Estimate

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

16%22%+3.5
The inspection, the figure and not dressing chlorine.
Estimate

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

18%18%+3.2
Potable, and the main whole.
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

  • water network
  • chlorine
  • leaks
  • tanks
  • tests
  • shut-offs
  • neighbourhoods
  • mains

Sources for this job· O*NET 51-8031.00· ESCO/ISCO 3132

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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