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

Domestic worker

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
Lists, online shopping and written errands.
Estimate

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

14%30%+4.2
Menus and pantry organisation.
Estimate

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

12%22%+2.6
Clean, cook, iron and tidy.
Estimate

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

26%8%+2.1
Care for elders or children of the house.
Estimate

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

16%10%+1.6
Trust, keys and boundaries.
Estimate

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

16%12%+1.9
Relationship with the employing family.
Estimate

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

16%14%+2.2
Total100%15%

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

Skills and activities

  • Lists, online shopping and written errands
  • Menus and pantry organisation
  • Clean, cook, iron and tidy
  • Care for elders or children of the house
  • Trust, keys and boundaries
  • Relationship with the employing family
  • empleada de hogar
  • interno
  • domestic worker
  • trabajadora del hogar

Sources for this job· O*NET 39-9011.00· ESCO/ISCO 9111

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