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

IS WORK OVER?

18%

AI can already do 18% of this job.

#563 / 643

Varnisher

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.

Task	Share	AI	Points
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
Total	100%		18%

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

IS WORK OVER?

26%

#216 / 643

Last-mile manager

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.

Task	Share	AI	Points
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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