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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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