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

Strength and conditioning coach

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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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