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?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324