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

IS WORK OVER?

21%

AI can already do 21% of this job.

#420 / 633

Livestock farmer

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.

Task	Share	AI	Points
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
Total	100%		21%

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

IS WORK OVER?

23%

#300 / 633

Alarm installer

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.

Task	Share	AI	Points
Diagram, zones and programming the panel. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the detector that trips alone. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
ARC, tests and the connection note. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train the user and the fob that gets lost. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in flat, the brick and not breaking extra. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
No false alarms, and a real call-out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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