IS WORK OVER?

Automation index

How much of a Wind-turbine technician’s job can AI already do?

A farm SCADA comes earlier. Climbing, repairing and coming down whole do not.

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

Task comparison

Wind-turbine 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
SCADA, the code and the spare.
Estimate

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

16%32%+5.1
Climb, the wind and the one who is sick.
Estimate

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

22%8%+1.8
Nacelle, the oil and the one that will not close.
Estimate

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

16%22%+3.5
Rescue, the protocol and not improvising.
Estimate

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

16%28%+4.5
The storm, the access and aborting.
Estimate

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

16%18%+2.9
Come down whole, and the turbine running.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • farm SCADA
  • climb the tower
  • nacelle
  • height rescue
  • oils
  • fault codes
  • access
  • wind

Sources for this job· O*NET 49-9081.00· ESCO/ISCO 7412

Materials engineer

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
Tests, metallography and the spec.
Estimate

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

18%48%+8.6
Shop, heat treatment and the part that fails spec.
Estimate

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

16%22%+3.5
Material choice, corrosion and fatigue.
Estimate

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

16%36%+5.8
Supplier, certificates and the doubtful batch.
Estimate

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

16%28%+4.5
The field failure and the root cause.
Estimate

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

18%14%+2.5
That it does not fail, and not swapping the material blind.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • materials tests
  • metallography
  • choose alloys
  • corrosion
  • fatigue
  • heat treatment
  • failure analysis
  • batch certificates

Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149

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