IS WORK OVER?

Automation index

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

A film and a report come earlier. The adjustment, and not hurting the neck, do not.

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

Task comparison

Chiropractor

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, films and a first plan.
Estimate

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

16%32%+5.1
Adjustment, mobilisation and spinal work.
Estimate

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

22%10%+2.2
Explain, dose and watch red flags.
Estimate

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

16%22%+3.5
Notes, consents and progress.
Estimate

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

16%28%+4.5
Room, hygiene and follow-up.
Estimate

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

16%16%+2.6
Not over-adjusting or treating the wrong person.
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, films and a first plan
  • Adjustment, mobilisation and spinal work
  • Explain, dose and watch red flags
  • Notes, consents and progress
  • Room, hygiene and follow-up
  • quiropractico
  • chiropractor

Sources for this job· O*NET 29-1011.00· ESCO/ISCO 2269

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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