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

Requirements engineer

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
Workshop, the actor and the requirement.
Estimate

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

18%48%+8.6
Conflict, the loudest and not swallowing it.
Estimate

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

16%40%+6.4
Criterion, the test and not leaving it vague.
Estimate

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

16%22%+3.5
Change, the impact and not hiding it.
Estimate

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

16%28%+4.5
The project lead, the deadline and not cutting the one that matters.
Estimate

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

18%14%+2.5
That it is needed, and not the loudest one's.
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

  • requirements
  • actor workshops
  • acceptance criteria
  • change impact
  • backlog
  • tests
  • not swallow the loudest
  • ambiguity

Sources for this job· O*NET 15-1299.00· ESCO/ISCO 2511

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