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?
Pharmacy technician
22%
AI can already do 22% of this job.
#396 / 643
View rankingPharmacy technician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Counts, orders and expiry dates.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Dispense, prepare and label.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Counter service and basic dosing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Compounds, repack and records.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pharmacy on-call and emergency stock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not mixing up a drug or a patient.EstimateNo 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
Skills and activities
- Counts, orders and expiry dates
- Dispense, prepare and label
- Counter service and basic dosing
- Compounds, repack and records
- Pharmacy on-call and emergency stock
- Not mixing up a drug or a patient
- tecnico de farmacia
- auxiliar de farmacia
- pharmacy technician
Sources for this job· O*NET 29-2052.00· ESCO/ISCO 3213
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120