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

IS WORK OVER?

24%

AI can already do 24% of this job.

#271 / 633

Jeweller

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.

Task	Share	AI	Points
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
Total	100%		24%

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

IS WORK OVER?

22%

#338 / 633

Ice-cream maker

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.

Task	Share	AI	Points
Base, overrun and the recipe. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Churn, age and the one that crystals. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
List, season and the flavour that misses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Workshop, cold and the broken chain. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Summer, the queue and not running out of vanilla. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Creamy in the mouth, and not selling ice. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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