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.

#414 / 673

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%

#394 / 673

Art teacher

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
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. 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