IS WORK OVER?

Automation index

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

A plan and a video come earlier. A dog that does not bite, and an owner who gets it, do not.

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

Task comparison

Dog trainer

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
Assess, plan and dog charts.
Estimate

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

16%32%+5.1
Sessions, lead and reading the animal.
Estimate

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

22%10%+2.2
Train the owner, not just the dog.
Estimate

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

16%22%+3.5
Groups, reactivity and safety.
Estimate

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

16%18%+2.9
Premises, kennels and hygiene.
Estimate

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

16%16%+2.6
Not leaving a dangerous dog in a home.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Assess, plan and dog charts
  • Sessions, lead and reading the animal
  • Train the owner, not just the dog
  • Groups, reactivity and safety
  • Premises, kennels and hygiene
  • Not leaving a dangerous dog in a home
  • adiestrador
  • educador canino
  • dog trainer

Sources for this job· O*NET 39-2011.00· ESCO/ISCO 5164

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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