IS WORK OVER?

Automation index

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

A CAD file and a cast come earlier. Setting, fitting and a stone that stays put do not.

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

Task comparison

Jeweller

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
Design, CAD and the quote with the client.
Estimate

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

16%40%+6.4
Cast, roll, solder and shape.
Estimate

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

18%18%+3.2
Set, crimp and make the stone stay.
Estimate

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

18%12%+2.2
Size, repair and restore pieces.
Estimate

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

16%28%+4.5
Valuation, gems and certificates.
Estimate

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

16%32%+5.1
The bench, deadlines and owning the piece.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • make jewellery
  • set stones
  • solder gold
  • design in CAD
  • resize rings
  • value jewellery
  • cast metal
  • restore pieces

Sources for this job· O*NET 51-9071.00· ESCO/ISCO 7313

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

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