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

Process 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
P&IDs, balances and the operating procedure.
Estimate

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

18%48%+8.6
Plant, trials and the real bottleneck.
Estimate

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

16%22%+3.5
Capacity, yields and the improvement report.
Estimate

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

16%40%+6.4
Start-up, shutdown and the shift that skips the SOP.
Estimate

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

16%18%+2.9
Process safety and the HAZOP that hurts.
Estimate

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

18%14%+2.5
Not overloading the reactor, and signing the change.
Estimate

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

16%12%+1.9
Total100%26%

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

Skills and activities

  • P&IDs
  • mass balances
  • HAZOP
  • plant start-up
  • improve yields
  • SOP
  • bottlenecks
  • process safety

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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