IS WORK OVER?

Automation index

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

A drawing and a camera come earlier. Going down a pit and leaving it clear do not.

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

Task comparison

Drainlayer

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
Drawings, cameras and connection logs.
Estimate

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

16%28%+4.5
Open, pipe and set the fall.
Estimate

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

24%8%+1.9
Pits, gases and confined spaces.
Estimate

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

16%12%+1.9
Street, neighbours and reinstating pavement.
Estimate

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

16%18%+2.9
Quantities, extras and the council.
Estimate

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

14%22%+3.1
Not leaving a connection that bursts.
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

  • Drawings, cameras and connection logs
  • Open, pipe and set the fall
  • Pits, gases and confined spaces
  • Quantities, extras and the council
  • Not leaving a connection that bursts
  • pocero
  • alcantarillado
  • drainlayer

Sources for this job· O*NET 47-2151.00· ESCO/ISCO 7126

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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