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

Spanish language teacher

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
Reading, the commentary and the rubric.
Estimate

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

16%40%+6.4
Writing, the paragraph and the one who will not start.
Estimate

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

18%14%+2.5
Speaking, the fear and getting them to talk.
Estimate

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

16%28%+4.5
Spelling, the mark-up and not humiliating.
Estimate

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

16%22%+3.5
Plagiarism, the web and not looking away.
Estimate

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

18%18%+3.2
That they write with sense, and not copying.
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

  • text commentary
  • writing
  • speaking
  • spelling
  • language rubrics
  • plagiarism
  • paragraphs
  • reading

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330

Analyse my job

Jobs with similar scores

  1. 163Automation engineer27%
  2. 164Energy engineer27%
  3. 165Packaging engineer27%
  4. 167Renewables engineer27%
  5. 168Hydraulic engineer27%
  6. 169Textile engineer27%