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

Agile 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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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