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

Nursing assistant

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
Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
Estimate

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

7%12%+0.8
Turn or reposition bedridden patients.
Estimate

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

6%12%+0.7
Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
Estimate

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

5%12%+0.6
Communicate with patients to ascertain feelings or need for assistance or social and emotional support.
Estimate

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

4%12%+0.5
Feed patients or assist patients to eat or drink.
Estimate

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

4%12%+0.5
Measure and record food and liquid intake or urinary and fecal output, reporting changes to medical or nursing staff.
Estimate

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

4%12%+0.5
Supply, collect, or empty bedpans.
Estimate

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

4%28%+1.1
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
Estimate

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

4%12%+0.5
Other less frequent tasks (weight estimated from frequency).
Estimate

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

62%28%+17.4
Total100%23%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • design interfaces
  • prototypes
  • figma
  • hygiene in a health care setting
  • health care legislation
  • disability care

Sources for this job· O*NET 31-1131.00· ESCO/ISCO 5321

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