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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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