IS WORK OVER?

Automation index

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

A pedigree comes earlier. A healthy litter placed well do not.

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

Task comparison

Animal breeder

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
Lines, seasons and the mating.
Estimate

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

16%36%+5.8
Birth, litter and the one that will not feed.
Estimate

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

18%12%+2.2
Health, vaccines and the breed standard.
Estimate

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

16%28%+4.5
Home, the contract and the one that is not for that.
Estimate

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

16%22%+3.5
The fashion, the demand and not over-breeding.
Estimate

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

18%18%+3.2
A healthy litter, and not placing with just anyone.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • breeding lines
  • seasons
  • litters
  • breed standard
  • placement contracts
  • litter vaccines
  • births
  • not over-breed

Sources for this job· O*NET 45-2021.00· ESCO/ISCO 6121

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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