IS WORK OVER?

Automation index

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

A 3D plan comes earlier. Doors that shut without showing the misalignment do not.

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

Task comparison

Kitchen fitter

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
Plan, measures and the module breakdown.
Estimate

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

16%36%+5.8
Level, hang and the plinth that will not reach.
Estimate

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

22%8%+1.8
Worktop, sink and the edge that chips.
Estimate

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

16%22%+3.5
Appliances, openings and the service visit.
Estimate

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

16%28%+4.5
The client, the tap change and the extra day.
Estimate

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

16%18%+2.9
Doors that shut, and not leaving the misalignment.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • fit kitchens
  • level modules
  • worktops
  • hang units
  • plinths
  • appliance housings
  • sinks
  • breakdown

Sources for this job· O*NET 47-2031.00· ESCO/ISCO 7115

Last-mile manager

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
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
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

Analyse my job

Jobs with similar scores

  1. 464Intensivist20%
  2. 465Emergency physician20%
  3. 466Cycle courier20%
  4. 468Neonatologist20%
  5. 469Osteopath20%
  6. 470Skipper20%