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

Histology technician

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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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