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

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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