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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
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

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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