IS WORK OVER?

Automation index

How much of a Vehicle painter’s job can AI already do?

A colour formula comes earlier. A metallic that does not show does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Vehicle painter

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
Formulas, codes and paint orders.
Estimate

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

16%32%+5.1
Mask, spray and bake.
Estimate

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

22%10%+2.2
Sand, polish and match the gloss.
Estimate

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

16%14%+2.2
Booth, filters and waste.
Estimate

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

16%18%+2.9
Shop, deadlines and the panel beater.
Estimate

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

16%22%+3.5
Not leaving a patch you can see from ten metres.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Formulas, codes and paint orders
  • Mask, spray and bake
  • Sand, polish and match the gloss
  • Booth, filters and waste
  • Shop, deadlines and the panel beater
  • pintor de coches
  • vehicle painter

Sources for this job· O*NET 51-9124.00· ESCO/ISCO 7132

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

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