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

Financial controller

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
Reporting, budgets and variances.
Estimate

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

20%48%+9.6
Close, provision and check against the books.
Estimate

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

16%32%+5.1
Management, plants and P&L owners.
Estimate

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

16%22%+3.5
Systems, masters and data quality.
Estimate

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

16%18%+2.9
Audit, controls and documentation.
Estimate

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

16%16%+2.6
Not dressing an EBIT.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • Reporting, budgets and variances
  • Management, plants and P&L owners
  • Systems, masters and data quality
  • Audit, controls and documentation
  • Not dressing an EBIT
  • controller
  • control de gestion
  • financial controller

Sources for this job· O*NET 13-2011.00· ESCO/ISCO 2411

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