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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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