IS WORK OVER?

Automation index

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

A tensile curve comes earlier. Picking the alloy so it does not fail in service do not.

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

Task comparison

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

Lighting 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
Calc, Dialux and the standard.
Estimate

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

18%48%+8.6
Works, the point and the one that was not put in.
Estimate

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

16%40%+6.4
Night, the glare and the pedestrian.
Estimate

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

16%22%+3.5
Saving, the LED and not leaving the crossing dark.
Estimate

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

16%28%+4.5
The council, the complaint and not dressing the lux.
Estimate

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

18%14%+2.5
That you can see, and not glaring.
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

  • Dialux
  • lux
  • glare
  • lighting points
  • LED
  • crossings
  • lighting standards
  • calcs

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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