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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
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

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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