Automation index
How much of a Professional athlete’s job can AI already do?
A load plan and a video analysis come earlier. Competing, getting hurt, and coming back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Professional athlete
15%
AI can already do 15% of this job.
#631 / 643
View rankingProfessional athlete
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 |
|---|---|---|---|
Load plans, nutrition and video analysis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Social, contracts and travel diary.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Train and compete the craft.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 4% | +1 |
Physio, sleep and prevention.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 8% | +1.3 |
Wear the shirt, press and the dressing room.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
Manage an injury and the end of a career.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Load plans, nutrition and video analysis
- Social, contracts and travel diary
- Train and compete the craft
- Physio, sleep and prevention
- Manage an injury and the end of a career
- deportista
- atleta profesional
- futbolista
- professional athlete
Sources for this job· O*NET 27-2021.00· ESCO/ISCO 3421
IS WORK OVER?
Forest ranger
18%
#561 / 643
View rankingForest ranger
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, GIS and penalty files.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Patrol, poaching and fires.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Neighbours, shepherds and councils.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Sampling, paths and signage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Duties, weather and terrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Not arriving late to a column of smoke.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
- Logs, GIS and penalty files
- Patrol, poaching and fires
- Neighbours, shepherds and councils
- Sampling, paths and signage
- Duties, weather and terrain
- Not arriving late to a column of smoke
- agente forestal
- agente medioambiental
- forest ranger
Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419