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

Cartographer

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
Sources, OSM, satellite and generalisation.
Estimate

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

18%52%+9.4
Symbology, type and visual hierarchy.
Estimate

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

16%48%+7.7
Projections, scales and getting the heights right.
Estimate

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

16%28%+4.5
Review with the client, the field and the lie in the data.
Estimate

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

18%18%+3.2
Print maps, web maps and updates.
Estimate

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

16%22%+3.5
Credit, metadata and owning the map.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • make maps
  • generalise cartography
  • symbology
  • choose projection
  • visual hierarchy
  • update OSM
  • web maps
  • maps that do not lie

Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165

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