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?
Prompt engineer
34%
#21 / 643
View rankingPrompt 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512