IS WORK OVER?

Automation index

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

A lift plan comes earlier. Raising a beam and not hitting anyone does not.

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

Task comparison

Crane operator

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
Lift plan, radii and weights.
Estimate

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

16%28%+4.5
Run the crane and place the load.
Estimate

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

24%8%+1.9
Signals, wind and exclusion zone.
Estimate

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

16%12%+1.9
Site, foreman and maintenance.
Estimate

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

16%18%+2.9
Logs, inspections and machine tests.
Estimate

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

14%22%+3.1
Not leaving a load over someone.
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

  • Lift plan, radii and weights
  • Run the crane and place the load
  • Signals, wind and exclusion zone
  • Site, foreman and maintenance
  • Logs, inspections and machine tests
  • Not leaving a load over someone
  • gruista
  • operador de grua
  • crane operator

Sources for this job· O*NET 53-7021.00· ESCO/ISCO 8343

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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