IS WORK OVER?

Automation index

How much of a Olive-oil miller’s job can AI already do?

A yield comes earlier. Cold extracting without overheating do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

Hospital pharmacist

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
Transcription, reconciliation and the error.
Estimate

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

18%48%+8.6
Validate, the interaction and the one that cannot.
Estimate

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

16%40%+6.4
Chemo, the cabinet and not mixing the batch.
Estimate

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

16%22%+3.5
Ward, the doubt and going down to see the patient.
Estimate

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

16%28%+4.5
The board, the expensive drug and not yielding to pressure.
Estimate

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

18%14%+2.5
Validate the regimen, and not missing the error.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • meds reconciliation
  • validate regimens
  • chemotherapy
  • interactions
  • compounding cabinet
  • hospital pharmacy
  • expensive drugs
  • medication errors

Sources for this job· O*NET 29-1051.00· ESCO/ISCO 2262

Analyse my job

Jobs with similar scores

  1. 354Banquet manager22%
  2. 355Table official22%
  3. 356Radio host22%
  4. 358Special-education teacher22%
  5. 359Primary school teacher22%
  6. 360Doctor22%