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

Dietetic 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
Menu, textures and the allergen.
Estimate

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

16%40%+6.4
Ward, the one who will not eat and the weight.
Estimate

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

18%14%+2.5
Kitchen, the change and the one who gets the puree wrong.
Estimate

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

16%28%+4.5
Educate, discharge and what is at home.
Estimate

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

16%22%+3.5
The dietitian, the plan and not jumping to a yes.
Estimate

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

18%18%+3.2
That they eat, and not starving them.
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

  • textures
  • allergens
  • puree
  • hospital menus
  • food education
  • ward weights
  • dysphagia
  • malnutrition

Sources for this job· O*NET 29-2051.00· ESCO/ISCO 3213

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