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.
#387 / 633
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?
BI analyst
34%
#18 / 633
View rankingBI analyst
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 data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511