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

Table official

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
Sheet, clock and the protocol.
Estimate

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

16%40%+6.4
Fouls, the warning and the one who argues.
Estimate

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

18%14%+2.5
Timeout, the scoreboard and not jumping it.
Estimate

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

16%28%+4.5
The referee, the table and not contradicting.
Estimate

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

16%22%+3.5
The crowd, the shove and keeping calm.
Estimate

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

18%18%+3.2
A clean result, and the sheet signed.
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

  • scoresheets
  • clock
  • fouls
  • timeouts
  • scoreboard
  • the table
  • protocol
  • warnings

Sources for this job· O*NET 27-2023.00· ESCO/ISCO 3422

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