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

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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