IS WORK OVER?

Automation index

How much of a Livestock farmer’s job can AI already do?

A headcount and a ration come earlier. The animal whole and the calving coming out do not.

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

Task comparison

Livestock farmer

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
Headcount, ration and the health log.
Estimate

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

16%36%+5.8
Yard, calving and the one that lags.
Estimate

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

22%10%+2.2
Pasture, water and the fence that comes down.
Estimate

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

16%22%+3.5
Market, abattoir and the day’s price.
Estimate

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

16%28%+4.5
The drought, the feed and not running them too thin.
Estimate

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

16%18%+2.9
The animal whole, and the calving well.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • rations
  • calving
  • headcount
  • fences
  • pasture
  • abattoir
  • health log
  • feed

Sources for this job· O*NET 45-1011.00· 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

Analyse my job

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