IS WORK OVER?

Automation index

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

A colour card comes earlier. A finish that does not show the grain the wrong way does not.

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

Task comparison

Varnisher

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
Colour cards, ranges and orders.
Estimate

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

16%32%+5.1
Sand, stain, apply and dry.
Estimate

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

22%10%+2.2
Booth, filters and dust.
Estimate

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

16%14%+2.2
Cabinetmaker, deadlines and touch-up.
Estimate

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

16%22%+3.5
Repairs in the home and on site.
Estimate

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

16%18%+2.9
Not delivering a piece with orange peel.
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

  • Colour cards, ranges and orders
  • Sand, stain, apply and dry
  • Booth, filters and dust
  • Cabinetmaker, deadlines and touch-up
  • Repairs in the home and on site
  • Not delivering a piece with orange peel
  • barnizador
  • lacador
  • varnisher

Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7522

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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