Automation index
How much of a Shepherd’s job can AI already do?
GPS collars come earlier. Bringing the whole flock without leaving one on the hill do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Shepherd
18%
AI can already do 18% of this job.
#585 / 643
View rankingShepherd
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.
| Task | Share | AI | Points |
|---|---|---|---|
Route, grazing and the day’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Flock, dogs and the wolf.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Shearing, lambing and the one that stays.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Cheese, milk and dealing with the dairy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The hill, the snow and not missing the pass.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
The whole flock, and not leaving one behind.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- run the flock
- sheepdogs
- lambing
- shearing
- the wolf
- passes
- ewe’s milk
- hill grazing
Sources for this job· O*NET 45-2093.00· ESCO/ISCO 6121
IS WORK OVER?
Agile coach
24%
#262 / 643
View rankingAgile coach
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.
| Task | Share | AI | Points |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421