Automation index
How much of a Lifeguard’s job can AI already do?
A log and a headcount come earlier. Jumping, pulling out and resuscitating do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Lifeguard
16%
AI can already do 16% of this job.
#621 / 643
View rankingLifeguard
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 |
|---|---|---|---|
Logs, headcount and closing protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Watch, jump and water rescue.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
CPR, defibrillator and first aid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Manage the beach or pool and talk to the public.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Kit maintenance and water chemistry.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Sun shift, fatigue and not looking away.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, headcount and closing protocols
- Watch, jump and water rescue
- CPR, defibrillator and first aid
- Kit maintenance and water chemistry
- Sun shift, fatigue and not looking away
- socorrista
- lifeguard
- salvamento
Sources for this job· O*NET 33-9092.00· ESCO/ISCO 5419
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