IS WORK OVER?

Automation index

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

A cutting list and a CNC come earlier. Fitting a piece into a real flat does not.

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

Task comparison

Cabinetmaker

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
Cutting list, CNC and ironmongery lists.
Estimate

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

16%40%+6.4
Assemble, veneer and fit in the shop.
Estimate

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

22%10%+2.2
Install in the home and leave it true.
Estimate

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

16%14%+2.2
Client, real measures and changes.
Estimate

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

16%22%+3.5
Finishes, varnish and repairs.
Estimate

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

16%18%+2.9
Not delivering a drawer that will not close.
Estimate

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

14%14%+2
Total100%19%

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

Skills and activities

  • Cutting list, CNC and ironmongery lists
  • Assemble, veneer and fit in the shop
  • Install in the home and leave it true
  • Client, real measures and changes
  • Finishes, varnish and repairs
  • ebanista
  • cabinetmaker
  • mueble a medida

Sources for this job· O*NET 51-7011.00· ESCO/ISCO 7522

Materials 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
Tests, metallography and the spec.
Estimate

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

18%48%+8.6
Shop, heat treatment and the part that fails spec.
Estimate

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

16%22%+3.5
Material choice, corrosion and fatigue.
Estimate

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

16%36%+5.8
Supplier, certificates and the doubtful batch.
Estimate

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

16%28%+4.5
The field failure and the root cause.
Estimate

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

18%14%+2.5
That it does not fail, and not swapping the material blind.
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

  • materials tests
  • metallography
  • choose alloys
  • corrosion
  • fatigue
  • heat treatment
  • failure analysis
  • batch certificates

Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149

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