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.
#594 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514