IS WORK OVER?

Automation index

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

A signal reading and a booking come earlier. Up on the roof until TDT actually shows does not.

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

Task comparison

Aerial 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
Bookings, levels and install logs.
Estimate

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

16%32%+5.1
Roof, mast, cable and outlet.
Estimate

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

22%10%+2.2
Configure, tune and explain to the neighbour.
Estimate

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

16%14%+2.2
Community, porter and access.
Estimate

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

16%22%+3.5
Faults, building ICT and fibre.
Estimate

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

16%18%+2.9
Not falling and not leaving a building without the match.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Bookings, levels and install logs
  • Roof, mast, cable and outlet
  • Community, porter and access
  • Faults, building ICT and fibre
  • antenista
  • instalador de antenas
  • aerial technician

Sources for this job· O*NET 49-2022.00· ESCO/ISCO 7422

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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