Automation index
How much of a Leisure instructor’s job can AI already do?
An activity and a list come earlier. Holding twenty kids and nobody getting hurt does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Leisure instructor
17%
AI can already do 17% of this job.
#604 / 643
View rankingLeisure instructor
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 |
|---|---|---|---|
Plan activities, lists and permission slips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Lead the group, games and trips.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Handle fights, fears and parents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, photos and camp report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Kit, meals and nights.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Not losing a child or missing an allergy.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Lead the group, games and trips
- Handle fights, fears and parents
- Logs, photos and camp report
- Kit, meals and nights
- Not losing a child or missing an allergy
- monitor de ocio
- leisure instructor
Sources for this job· O*NET 39-9032.00· ESCO/ISCO 3423
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