Automation index

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

A count and an order come earlier. Dispensing without mixing up the blister does 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.

#387 / 633

Pharmacy 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
Counts, orders and expiry dates. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Dispense, prepare and label. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Counter service and basic dosing. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Compounds, repack and records. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pharmacy on-call and emergency stock. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not mixing up a drug or a patient. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		23%

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