IS WORK OVER?

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

Pharmacy 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.

TaskShareAIPoints
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
Total100%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

Station master

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.

TaskShareAIPoints
Graph, orders and the station log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Incident, passengers and the PA.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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