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

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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