Automation index

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

A temper curve comes earlier. Snap without blooming do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#331 / 653

Chocolatier

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
Temper, recipes and the mould. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Bonbon, filling and the one that will not set. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Display, orders and summer heat. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Cocoa, traceability and origin. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Christmas, the volume and not losing the snap. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it snaps, and not going white. 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

IS WORK OVER?

19%

#554 / 653

Histology technician

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
Intake, the pot and not mixing cases. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Process, embed and the block. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Cut, the knife and the one that falls apart. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Stain, the control and the one that will not take. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The pathologist, the rush and not sending a bad cut. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not losing the diagnosis on the knife. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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