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

Driving theory instructor

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
Topic, the test and the typical error.
Estimate

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

18%48%+8.6
Classroom, the one who skips and the one who copies.
Estimate

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

16%40%+6.4
The rule, the why and not reciting the article.
Estimate

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

16%22%+3.5
Exam, the nerves and not jumping to a pass.
Estimate

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

16%28%+4.5
The school, the rush and not selling the pass.
Estimate

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

18%14%+2.5
That they understand the rule, and not the crib.
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

  • DGT tests
  • driving theory
  • typical errors
  • traffic rules
  • articles
  • theory exam
  • cribs
  • theory classroom

Sources for this job· O*NET 25-3021.00· ESCO/ISCO 2320

Analyse my job

Jobs with similar scores

  1. 164Automation engineer27%
  2. 165Energy engineer27%
  3. 166Packaging engineer27%
  4. 168Renewables engineer27%
  5. 169Hydraulic engineer27%
  6. 170Textile engineer27%