IS WORK OVER?

Automation index

How much of a Osteopath’s job can AI already do?

A history and a test come earlier. A manipulation, and not overdoing it, do not.

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

Task comparison

Osteopath

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
History, tests and a first plan.
Estimate

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

16%32%+5.1
Manipulation, mobilisation and visceral work.
Estimate

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

22%10%+2.2
Explain, dose and refer if there is a red flag.
Estimate

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

16%22%+3.5
Clinical notes and progress.
Estimate

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

16%28%+4.5
Room, hygiene and informed consent.
Estimate

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

16%16%+2.6
The practitioner’s body and not doing harm.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • History, tests and a first plan
  • Clinical notes and progress
  • Room, hygiene and informed consent
  • The practitioner’s body and not doing harm
  • osteopata
  • osteopath

Sources for this job· O*NET 29-1299.00· ESCO/ISCO 2269

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

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