Automation index
How much of a Dog trainer’s job can AI already do?
A plan and a video come earlier. A dog that does not bite, and an owner who gets it, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dog trainer
18%
AI can already do 18% of this job.
#550 / 633
View rankingDog trainer
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 |
|---|---|---|---|
Assess, plan and dog charts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sessions, lead and reading the animal.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Train the owner, not just the dog.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Groups, reactivity and safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Premises, kennels and hygiene.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a dangerous dog in a home.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Assess, plan and dog charts
- Sessions, lead and reading the animal
- Train the owner, not just the dog
- Groups, reactivity and safety
- Premises, kennels and hygiene
- Not leaving a dangerous dog in a home
- adiestrador
- educador canino
- dog trainer
Sources for this job· O*NET 39-2011.00· ESCO/ISCO 5164
IS WORK OVER?
Prompt engineer
34%
#21 / 633
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