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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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